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@incollection{Vacher15,
	Author = {Vacher, Jonathan and Meso, Andrew Isaac and Perrinet, Laurent U and Peyr\'{e}, Gabriel},
	Booktitle = {Advances in Neural Information Processing Systems 28},
	Date-Added = {2016-07-19 15:35:13 +0000},
	Date-Modified = {2016-07-19 15:35:15 +0000},
	Editor = {C. Cortes and N.D. Lawrence and D.D. Lee and M. Sugiyama and R. Garnett and R. Garnett},
	Pages = {1909--1917},
	Publisher = {Curran Associates, Inc.},
	Title = {Biologically Inspired Dynamic Textures for Probing Motion Perception},
	Url = {http://arxiv.org/abs/1511.02705},
	Year = {2015},
	Bdsk-Url-1 = {http://papers.nips.cc/paper/5769-biologically-inspired-dynamic-textures-for-probing-motion-perception.pdf}}

@article{Cantor2007,
	Abstract = {When two moving objects are presented in perfect alignment, but are not visible for the same amount of time, the briefer object will often be perceived as "lagging" the object of greater duration. Most investigations of this flash-lag effect (FLE) employ high velocity broadband stimuli, such as lines or dots with sharp boundaries and flashes with rapid onset and offset. We introduce a stimulus paradigm with narrow-band stimuli and measure the stimulus dependence of the FLE when basic stimulus parameters of spatio-temporal frequency and temporal duration are varied. We suggest that this dependence is consistent with the involvement of early visual mechanisms and interpret our results in the context of existing theories of the FLE. ?? 2007 Elsevier Ltd. All rights reserved.},
	Archiveprefix = {arXiv},
	Arxivid = {NIHMS150003},
	Author = {Cantor, Christopher R L and Schor, Clifton M.},
	Doi = {10.1016/j.visres.2007.06.023},
	Eprint = {NIHMS150003},
	Isbn = {0042-6989 (Print)$\backslash$r0042-6989 (Linking)},
	Issn = {00426989},
	Journal = {Vision Research},
	Keywords = {Differential latency,Flash-lag effect,Motion,Motion extrapolation,Position computation,Postdiction,Spatial,Temporal,Temporal impulse response},
	Number = {22},
	Pages = {2841--2854},
	Pmid = {17868767},
	Title = {Stimulus dependence of the flash-lag effect},
	Volume = {47},
	Year = {2007},
	Bdsk-Url-1 = {http://dx.doi.org/10.1016/j.visres.2007.06.023}}

@article{Orban1985,
	Abstract = {Just-noticeable differences (jnd's) in velocity were measured as a function of reference velocity for central and peripheral vision. The velocity discrimination curves plotting jnd's in velocity, expressed as Weber fractions, as a function of reference velocity were U shaped at all eccentricities. Under almost every stimulus condition the increase in jnd in velocity with increasing eccentricity was significantly larger at low reference velocities than at high reference velocities. Consequently the shift toward higher velocities with increasing eccentricity was much clearer for the lower end of the velocity-discrimination curve than for the upper end. These results are in agreement with the predictions derived from the response characteristics of velocity-tuned cells. Control experiments involving direction discrimination have shown that the impossibility of making fine velocity judgments at high speeds is due not to too weak a contrast for the stimulus motion to be visible but to a limitation in the neural apparatus analyzing velocity.},
	Author = {Orban, Guy a and {Van Calenbergh}, Frank and {De Bruyn}, Bart and Maes, Hugo},
	Doi = {10.1364/JOSAA.2.001836},
	Issn = {1084-7529},
	Journal = {Journal of the Optical Society of America A},
	Month = {nov},
	Number = {11},
	Pages = {1836},
	Pmid = {4067694},
	Title = {Velocity discrimination in central and peripheral visual field},
	Url = {https://www.osapublishing.org/abstract.cfm?URI=josaa-2-11-1836},
	Volume = {2},
	Year = {1985},
	Bdsk-Url-1 = {https://www.osapublishing.org/abstract.cfm?URI=josaa-2-11-1836},
	Bdsk-Url-2 = {http://dx.doi.org/10.1364/JOSAA.2.001836}}

@article{Orban1984,
	Abstract = {Differential velocity detection in the fovea was measured over a wide range of velocities (0.25-256??/sec), Differential thresholds were minimum (about 6{\%}) for intermediate velocities (4-32??/sec). Velocity judgements were shown not to depend on duration judgements. The U-shaped curve relating differential velocity detection and velocity was preserved at different background levels and different contrasts. The physiological correlates of these observations are discussed. ?? 1984.},
	Author = {Orban, Guy A. and de Wolf, Jos and Maes, Hugo},
	Doi = {10.1016/0042-6989(84)90141-X},
	Isbn = {0042-6989},
	Issn = {00426989},
	Journal = {Vision Research},
	Month = {jan},
	Number = {1},
	Pages = {33--39},
	Pmid = {6695505},
	Title = {Factors influencing velocity coding in the human visual system},
	Url = {http://linkinghub.elsevier.com/retrieve/pii/004269898490141X},
	Volume = {24},
	Year = {1984},
	Bdsk-Url-1 = {http://linkinghub.elsevier.com/retrieve/pii/004269898490141X},
	Bdsk-Url-2 = {http://dx.doi.org/10.1016/0042-6989(84)90141-X}}

@article{Gerard-Mercier2016,
	Abstract = {UNLABELLED: The computational role of primary visual cortex (V1) in low-level perception remains largely debated. A dominant view assumes the prevalence of higher cortical areas and top-down processes in binding information across the visual field. Here, we investigated the role of long-distance intracortical connections in form and motion processing by measuring, with intracellular recordings, their synaptic impact on neurons in area 17 (V1) of the anesthetized cat. By systematically mapping synaptic responses to stimuli presented in the nonspiking surround of V1 receptive fields, we provide the first quantitative characterization of the lateral functional connectivity kernel of V1 neurons. Our results revealed at the population level two structural-functional biases in the synaptic integration and dynamic association properties of V1 neurons. First, subthreshold responses to oriented stimuli flashed in isolation in the nonspiking surround exhibited a geometric organization around the preferred orientation axis mirroring the psychophysical "association field" for collinear contour perception. Second, apparent motion stimuli, for which horizontal and feedforward synaptic inputs summed in-phase, evoked dominantly facilitatory nonlinear interactions, specifically during centripetal collinear activation along the preferred orientation axis, at saccadic-like speeds. This spatiotemporal integration property, which could constitute the neural correlate of a human perceptual bias in speed detection, suggests that local (orientation) and global (motion) information is already linked within V1. We propose the existence of a "dynamic association field" in V1 neurons, whose spatial extent and anisotropy are transiently updated and reshaped as a function of changes in the retinal flow statistics imposed during natural oculomotor exploration.

			  SIGNIFICANCE STATEMENT: The computational role of primary visual cortex in low-level perception remains debated. The expression of this "pop-out" perception is often assumed to require attention-related processes, such as top-down feedback from higher cortical areas. Using intracellular techniques in the anesthetized cat and novel analysis methods, we reveal unexpected structural-functional biases in the synaptic integration and dynamic association properties of V1 neurons. These structural-functional biases provide a substrate, within V1, for contour detection and, more unexpectedly, global motion flow sensitivity at saccadic speed, even in the absence of attentional processes. We argue for the concept of a "dynamic association field" in V1 neurons, whose spatial extent and anisotropy changes with retinal flow statistics, and more generally for a renewed focus on intracortical computation.},
	Author = {Gerard-Mercier, Florian and Carelli, Pedro V and Pananceau, Marc and Troncoso, Xoana G and Fr{\'{e}}gnac, Yves},
	Doi = {10.1523/JNEUROSCI.4492-15.2016},
	Issn = {1529-2401},
	Journal = {The Journal of neuroscience : the official journal of the Society for Neuroscience},
	Keywords = {association field},
	Mendeley-Tags = {association field},
	Month = {apr},
	Number = {14},
	Pages = {3925--42},
	Pmid = {27053201},
	Title = {Synaptic Correlates of Low-Level Perception in {V1}.},
	Url = {http://www.jneurosci.org/content/36/14/3925.short},
	Volume = {36},
	Year = {2016},
	Bdsk-Url-1 = {http://www.jneurosci.org/content/36/14/3925.short},
	Bdsk-Url-2 = {http://dx.doi.org/10.1523/JNEUROSCI.4492-15.2016}}

@article{Kirschfeld1999,
	Abstract = {Usually we assume that the central nervous system preserves temporal sequences. Here we show that moving objects--in the context of behaviour often dangerous ones--are seen with a shorter latency than stationary (flashed) objects. In addition moving objects are deblurred. Two mechanisms contribute to this functional specialisation: cue-induced visual focal attention and metacontrast. Under unnatural conditions these mechanisms lead to an optical illusion first described by Fr{\"{o}}hlich [Fr{\"{o}}hlich, F. W. (1923). Uber die Messung der Empfindungszeit. Zeitschrift f{\"{u}}r Sinnesphysiologie, 54, 58-78].},
	Author = {Kirschfeld, K and Kammer, T},
	Issn = {0042-6989},
	Journal = {Vision research},
	Keywords = {Adult,Aged,Attention,Contrast Sensitivity,Contrast Sensitivity: physiology,Cues,Humans,Motion Perception,Motion Perception: physiology,Reaction Time,khoei16fle},
	Mendeley-Tags = {khoei16fle},
	Month = {nov},
	Number = {22},
	Pages = {3702--9},
	Pmid = {10746140},
	Title = {The {F}r{\"{o}}hlich effect: a consequence of the interaction of visual focal attention and metacontrast.},
	Url = {http://www.ncbi.nlm.nih.gov/pubmed/10746140},
	Volume = {39},
	Year = {1999},
	Bdsk-Url-1 = {http://www.ncbi.nlm.nih.gov/pubmed/10746140}}

@article{Subramaniyan2013,
	Abstract = {Transmission of neural signals in the brain takes time due to the slow biological mechanisms that mediate it. During such delays, the position of moving objects can change substantially. The brain could use statistical regularities in the natural world to compensate neural delays and represent moving stimuli closer to real time. This possibility has been explored in the context of the flash lag illusion, where a briefly flashed stimulus in alignment with a moving one appears to lag behind the moving stimulus. Despite numerous psychophysical studies, the neural mechanisms underlying the flash lag illusion remain poorly understood, partly because it has never been studied electrophysiologically in behaving animals. Macaques are a prime model for such studies, but it is unknown if they perceive the illusion. By training monkeys to report their percepts unbiased by reward, we show that they indeed perceive the illusion qualitatively similar to humans. Importantly, the magnitude of the illusion is smaller in monkeys than in humans, but it increases linearly with the speed of the moving stimulus in both species. These results provide further evidence for the similarity of sensory information processing in macaques and humans and pave the way for detailed neurophysiological investigations of the flash lag illusion in behaving macaques.},
	Author = {Subramaniyan, Manivannan and Ecker, Alexander S and Berens, Philipp and Tolias, Andreas S},
	Doi = {10.1371/journal.pone.0058788},
	File = {:Users/laurentperrinet/pool/science/bibtexing/mendeley/Subramaniyan et al. - 2013 - PloS one.pdf:pdf},
	Issn = {1932-6203},
	Journal = {PloS one},
	Keywords = {Adult,Animals,Humans,Illusions,Illusions: psychology,Macaca mulatta,Male,Middle Aged,Motion Perception,Motion Perception: physiology,Photic Stimulation,Reaction Time,Young Adult,khoei16fle},
	Mendeley-Tags = {khoei16fle},
	Month = {jan},
	Number = {3},
	Pages = {e58788},
	Pmid = {23527024},
	Title = {Macaque monkeys perceive the flash lag illusion.},
	Url = {http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=3602542&tool=pmcentrez&rendertype=abstract},
	Volume = {8},
	Year = {2013},
	Bdsk-Url-1 = {http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=3602542&tool=pmcentrez&rendertype=abstract},
	Bdsk-Url-2 = {http://dx.doi.org/10.1371/journal.pone.0058788}}

@book{Nijhawan10,
	Date-Added = {2016-03-06 16:35:53 +0000},
	Date-Modified = {2016-03-06 16:41:44 +0000},
	Editor = {Nijhawan, R. and Khurana, Beena},
	Publisher = {Cambridge Univ Press},
	Title = {Space and Time in Perception and Action},
	Year = {2010}}

@article{Franklin11,
	Author = {Franklin, D.W. and Wolpert, D},
	Date-Added = {2016-03-04 10:35:26 +0000},
	Date-Modified = {2016-03-04 10:36:51 +0000},
	Journal = {Neuron},
	Pages = {425-442},
	Title = {Computational mechanisms of sensorimotor control},
	Volume = {72},
	Year = {2011}}

@article{Musseler02,
	Abstract = {Three experiments with 10 college students and 20 observers compared the size of three mislocalization errors: the Froehlich effect, the flash-lag effect, and representational momentum. In Experiment 1, a flash appeared either simultaneously with the onset, the mid-position, or the offset of the moving target. Observers then judged the position where the moving target was located when the flash appeared. Experiments 2 and 3 were exclusively concerned with localizing the onset and the offset of the moving target. When observers localized the position with respect to the point in time when the flash was presented, a clear mislocalization in the direction of movement was observed at the initial position and the mid-position. In contrast, a mislocalization opposite to movement direction occurred at the final position. When observers were asked to ignore the flash (or when no flash was presented at all), a reduced error (or no error) was observed at the initial position and only a minor error in the direction of the movement occurred at the final position, An integrative model is proposed, which suggests a common underlying mechanism, but emphasizes the specific processing components of the Froehlich effect, flash-lag effect, and representational momentum. (PsycINFO Database Record (c) 2002 APA, all rights reserved)},
	Author = {M{\"{u}}sseler, Jochen and Stork, Sonja and Kerzel, Dirk},
	Doi = {10.1080/13506280143000359},
	File = {:Users/laurentperrinet/pool/science/bibtexing/mendeley/M{\"{u}}sseler, Stork, Kerzel - 2002 - Visual Cognition.pdf:pdf},
	Issn = {1350-6285},
	Journal = {Visual Cognition},
	Keywords = {flash-lag effect,khoei16fle},
	Mendeley-Groups = {flash-lag effect},
	Mendeley-Tags = {flash-lag effect,khoei16fle},
	Month = {feb},
	Number = {1-2},
	Pages = {120--138},
	Title = {Comparing mislocalizations with moving stimuli: The {F}r{\"{o}}hlich effect, the flash-lag, and representational momentum},
	Url = {http://www.tandfonline.com/doi/abs/10.1080/13506280143000359},
	Volume = {9},
	Year = {2002},
	Bdsk-Url-1 = {http://www.tandfonline.com/doi/abs/10.1080/13506280143000359},
	Bdsk-Url-2 = {http://dx.doi.org/10.1080/13506280143000359}}

@article{Simoncini12,
	Abstract = {Moving objects generate motion information at different scales, but it is not known how the brain pools all of this information to reconstruct object speed and whether pooling depends on the purpose for which the information will be used. Here the authors find task-dependent differences in pooling that can be explained by an adaptive gain control mechanism.},
	Author = {Simoncini, Claudio and Perrinet, Laurent U. and Montagnini, Anna and Mamassian, Pascal and Masson, Guillaume S.},
	Citeulike-Article-Id = {11608126},
	Citeulike-Linkout-0 = {http://dx.doi.org/10.1038/nn.3229},
	Citeulike-Linkout-1 = {http://dx.doi.org/10.1038/nn.3229},
	Date-Added = {2015-12-01 14:03:49 +0000},
	Date-Modified = {2015-12-01 14:03:49 +0000},
	Day = {30},
	Doi = {10.1038/nn.3229},
	Issn = {1097-6256},
	Journal = {Nature Neurosci},
	Keywords = {active\_eye\_movements, bicv-sparse, eye-movements, freemove, gain\_control, pursuit, sanz12jnp, spem, vacher14},
	Month = nov,
	Number = {11},
	Pages = {1596--1603},
	Priority = {0},
	Publisher = {Nature Publishing Group, a division of Macmillan Publishers Limited. All Rights Reserved.},
	Title = {More is not always better: adaptive gain control explains dissociation between perception and action},
	Url = {http://dx.doi.org/10.1038/nn.3229},
	Volume = {15},
	Year = {2012},
	Bdsk-Url-1 = {http://dx.doi.org/10.1038/nn.3229}}

@article{Baldo02,
	Abstract = {In soccer games, an attacking player is said to be in an offside position if he or she is closer to the opponents' goal line than both the ball and the second-to-last defender. It is an offence for the attacker to be in an offside position and in active play at the moment a fellow team member plays the ball. Assistant referees often make mistakes when judging an offside offence, probably because of optical errors arising from the viewing angle adopted by them (Oudejans, Verheijen, Bakker, Gerrits, Steinbrckner, Beek, 2000 Nature 404 33). Looking more closely at Oudejans et al's data, we show evidence that the flash-lag effect may contribute significantly to these mistakes. Participation of the flash-lag effect in assistant referees' misjudgments would take this perceptual phenomenon from laboratory setups to a real-life situation for the first time.},
	Author = {Baldo, M. V. C. and Ranvaud, R. D. and Morya, E.},
	Citeulike-Article-Id = {7369093},
	Citeulike-Linkout-0 = {http://dx.doi.org/10.1068/p3422},
	Citeulike-Linkout-1 = {http://www.perceptionweb.com/abstract.cgi?id=p3422},
	Date-Added = {2015-11-23 15:12:22 +0000},
	Date-Modified = {2015-11-23 15:12:22 +0000},
	Doi = {10.1068/p3422},
	Journal = {Perception},
	Number = {10},
	Pages = {1205--1210},
	Posted-At = {2010-06-30 09:09:20},
	Publisher = {Pion Ltd},
	Title = {Flag errors in soccer games: the flash-lag effect brought to real life},
	Url = {http://dx.doi.org/10.1068/p3422},
	Volume = {31},
	Year = {2002},
	Bdsk-Url-1 = {http://dx.doi.org/10.1068/p3422}}

@article{Lisberger2010,
	Abstract = {Smooth-pursuit eye movements transform 100 ms of visual motion into a rapid initiation of smooth eye movement followed by sustained accurate tracking. Both the mean and variation of the visually driven pursuit response can be accounted for by the combination of the mean tuning curves and the correlated noise within the sensory representation of visual motion in extrastriate visual area {MT}. Sensory-motor and motor circuits have both housekeeping and modulatory functions, implemented in the cerebellum and the smooth eye movement region of the frontal eye fields. The representation of pursuit is quite different in these two regions of the brain, but both regions seem to control pursuit directly with little or no noise added downstream. Finally, pursuit exhibits a number of voluntary characteristics that happen on short timescales. These features make pursuit an excellent exemplar for understanding the general properties of sensory-motor processing in the brain.},
	Author = {Lisberger, Stephen G.},
	Citeulike-Article-Id = {13455907},
	Citeulike-Linkout-0 = {http://dx.doi.org/10.1016/j.neuron.2010.03.027},
	Date-Added = {2015-11-16 15:43:42 +0000},
	Date-Modified = {2015-11-16 15:43:42 +0000},
	Doi = {10.1016/j.neuron.2010.03.027},
	Journal = {Neuron},
	Keywords = {bicv-motion, khoei16fle},
	Month = may,
	Number = {4},
	Pages = {477--91},
	Posted-At = {2014-12-09 11:40:02},
	Priority = {2},
	Title = {Visual guidance of smooth-pursuit eye movements: sensation, action, and what happens in between},
	Url = {http://dx.doi.org/10.1016/j.neuron.2010.03.027},
	Volume = {66},
	Year = {2010},
	Bdsk-Url-1 = {http://dx.doi.org/10.1016/j.neuron.2010.03.027}}

@inbook{Montagnini15bicv,
	Address = {Weinheim, Germany},
	Author = {Montagnini, Anna and Perrinet, Laurent U and Masson, Guillaume S},
	Booktitle = {Biologically Inspired Computer Vision},
	Chapter = {27},
	Doi = {10.1002/9783527680863.ch12},
	Editor = {Keil, Matthias and Crist{\'{o}}bal, Gabriel and Perrinet, Laurent U},
	Keywords = {bicv-motion,khoei16fle},
	Month = {aug},
	Pages = {267--294},
	Publisher = {Wiley-VCH Verlag},
	Title = {Visual Motion Processing and Human Tracking Behavior},
	Url = {http://doi.wiley.com/10.1002/9783527680863.ch12},
	Year = {2015},
	Bdsk-Url-1 = {http://doi.wiley.com/10.1002/9783527680863.ch12},
	Bdsk-Url-2 = {http://dx.doi.org/10.1002/9783527680863.ch12}}

@article{Maus09,
	Author = {Maus, Gerrit W and Nijhawan, Romi},
	Date-Added = {2015-11-15 20:48:03 +0000},
	Date-Modified = {2015-11-16 15:45:34 +0000},
	Journal = {Journal of Experimental Psychology: Human Perception and Performance},
	Number = {3},
	Pages = {611},
	Publisher = {American Psychological Association},
	Title = {Going, going, gone: localizing abrupt offsets of moving objects.},
	Volume = {35},
	Year = {2009}}

@article{Maus06,
	Author = {Maus, Gerrit W and Nijhawan, Romi},
	Date-Added = {2015-11-15 20:47:55 +0000},
	Date-Modified = {2015-11-16 15:45:39 +0000},
	Journal = {Vision research},
	Number = {26},
	Pages = {4375--4381},
	Publisher = {Pergamon},
	Title = {Forward displacements of fading objects in motion: the role of transient signals in perceiving position},
	Volume = {46},
	Year = {2006}}

@article{nijhawan08,
	Author = {Nijhawan, Romi},
	Date-Added = {2015-11-15 20:45:17 +0000},
	Date-Modified = {2015-11-15 20:45:31 +0000},
	Journal = {Behavioral and Brain Sciences},
	Number = {02},
	Pages = {222--239},
	Publisher = {Cambridge Univ Press},
	Title = {Predictive perceptions, predictive actions, and beyond},
	Volume = {31},
	Year = {2008}}

@article{Metzger32,
	Author = {W. Metzger},
	Date-Added = {2015-11-15 20:15:31 +0000},
	Date-Modified = {2015-11-15 20:16:59 +0000},
	Journal = {Psychologische Forschung},
	Pages = {176-200},
	Title = {Versuch einer gemeinsamen Theorie der Ph{\"a}nomene Fr{\"o}hlichs und Hazelhoffs und Kritik ihrer Verfahren zur Messung der Empfindungszeit},
	Volume = {16},
	Year = {1932}}

@article{Hubbard14,
	Abstract = {If an observer sees a flashed (briefly presented) object that is aligned with a moving target, the perceived position of the flashed object usually lags the perceived position of the moving target. This has been referred to as the flash-lag effect, and the flash-lag effect has been suggested to reflect how an observer compensates for delays in perception that are due to neural processing times and is thus able to interact with dynamic stimuli in real time. Characteristics of the stimulus and of the observer that influence the flash-lag effect are reviewed, and the sensitivity or robustness of the flash-lag effect to numerous variables is discussed. Properties of the flash-lag effect and how the flash-lag effect might be related to several other perceptual and cognitive processes and phenomena are considered. Unresolved empirical issues are noted. Theories of the flash-lag effect are reviewed, and evidence inconsistent with each theory is noted. The flash-lag effect appears to involve low-level perceptual processes and high-level cognitive processes, reflects the operation of multiple mechanisms, occurs in numerous stimulus dimensions, and occurs within and across multiple modalities. It is suggested that the flash-lag effect derives from more basic mislocalizations of the moving target or flashed object and that understanding and analysis of the flash-lag effect should focus on these more basic mislocalizations rather than on the relationship between the moving target and the flashed object.},
	Address = {Texas Christian University.},
	Author = {Hubbard, Timothy L},
	Copyright = {(PsycINFO Database Record (c) 2013 APA, all rights reserved).},
	Crdt = {2013/06/26 06:00},
	Da = {20131224},
	Date = {2014 Jan},
	Date-Added = {2015-11-15 20:07:32 +0000},
	Date-Modified = {2015-11-15 20:07:47 +0000},
	Dcom = {20150406},
	Dep = {20130624},
	Doi = {10.1037/a0032899},
	Edat = {2013/06/26 06:00},
	Issn = {1939-1455 (Electronic); 0033-2909 (Linking)},
	Jid = {0376473},
	Journal = {Psychol Bull},
	Jt = {Psychological bulletin},
	Language = {eng},
	Lid = {10.1037/a0032899 {$[$}doi{$]$}},
	Mh = {Humans; Motion Perception/*physiology; Space Perception/*physiology},
	Mhda = {2015/04/07 06:00},
	Month = {Jan},
	Number = {1},
	Own = {NLM},
	Pages = {308--338},
	Phst = {2013/06/24 {$[$}aheadofprint{$]$}},
	Pii = {2013-22182-001},
	Pl = {United States},
	Pmid = {23796268},
	Pst = {ppublish},
	Pt = {Journal Article; Review},
	Sb = {IM},
	Status = {MEDLINE},
	Title = {The flash-lag effect and related mislocalizations: findings, properties, and theories.},
	Volume = {140},
	Year = {2014},
	Bdsk-Url-1 = {http://dx.doi.org/10.1037/a0032899}}

@inbook{Maus10b,
	Author = {Maus, Gerrit W and Khurana, Beena and Nijhawan, Romi},
	Journal = {Space and time in perception and action},
	Pages = {477--499},
	Publisher = {Cambridge University Press New York, NY},
	Title = {History and theory of flash-lag: past, present, and future},
	Year = {2010}}

@article{Wojtach08,
	Author = {Wojtach, William T and Sung, Kyongje and Truong, Sandra and Purves, Dale},
	Date-Added = {2015-11-01 20:55:46 +0000},
	Date-Modified = {2015-11-01 20:55:57 +0000},
	Journal = {Proceedings of the National Academy of Sciences},
	Number = {42},
	Pages = {16338--16343},
	Publisher = {National Acad Sciences},
	Title = {An empirical explanation of the flash-lag effect},
	Volume = {105},
	Year = {2008}}

@article{Rao2001,
	Annote = {doi: 10.1162/08997660152002843},
	Author = {Rao, Rajesh P. N. and Eagleman, David M. and Sejnowski, Terrence J.},
	Booktitle = {Neural Computation},
	Da = {2001/06/01},
	Date = {2001/06/01},
	Date-Added = {2015-11-01 20:09:02 +0000},
	Date-Modified = {2015-11-01 20:09:15 +0000},
	Doi = {10.1162/08997660152002843},
	Isbn = {0899-7667},
	Journal = {Neural Computation},
	Journal1 = {Neural Computation},
	M3 = {doi: 10.1162/08997660152002843},
	Month = {2015/11/01},
	Number = {6},
	Pages = {1243--1253},
	Publisher = {MIT Press},
	Title = {Optimal Smoothing in Visual Motion Perception},
	Ty = {JOUR},
	Url = {http://dx.doi.org/10.1162/08997660152002843},
	Volume = {13},
	Year = {2001},
	Year1 = {2001},
	Bdsk-Url-1 = {http://dx.doi.org/10.1162/08997660152002843}}

@article{Inui06,
	Author = {Koji Inui and Kakigi, Ryusuke},
	Date-Added = {2015-03-08 11:44:13 +0000},
	Date-Modified = {2015-03-08 11:44:49 +0000},
	Doi = {10.1152/jn.00103.2006},
	Issn = {1522-1598},
	Journal = {Journal of Neurophysiology},
	Keywords = {thesis},
	Number = {2},
	Pages = {775--784},
	Title = {Temporal Analysis of the Flow From V1 to the Extrastriate Cortex in Humans},
	Volume = {96},
	Year = {2006},
	Bdsk-Url-1 = {http://dx.doi.org/10.1152/jn.00103.2006}}

@article{Friston10d,
	Author = {Friston, Karl and Stephan, Klaas and Li, Baojuan and Daunizeau, Jean},
	Citeulike-Article-Id = {9420250},
	Citeulike-Linkout-0 = {http://dx.doi.org/10.1155/2010/621670},
	Date-Added = {2015-02-25 16:06:26 +0000},
	Date-Modified = {2015-02-25 16:06:26 +0000},
	Doi = {10.1155/2010/621670},
	Journal = {Mathematical Problems in Engineering},
	Keywords = {free-energy, perrinetadamsfriston14},
	Pages = {1--35},
	Posted-At = {2011-06-16 09:36:35},
	Priority = {2},
	Title = {Generalised Filtering},
	Url = {http://dx.doi.org/10.1155/2010/621670},
	Volume = {2010},
	Year = {2010},
	Bdsk-Url-1 = {http://dx.doi.org/10.1155/2010/621670}}

@article{Kaplan13,
	Abstract = {{Predictive coding hypothesizes that the brain explicitly infers upcoming sensory input to establish a coherent representation of the world. Although it is becoming generally accepted, it is not clear on which level spiking neural networks may implement predictive coding and what function their connectivity may have. We present a network model of conductance-based integrate-and-fire neurons inspired by the architecture of retinotopic cortical areas that assumes predictive coding is implemented through network connectivity, namely in the connection delays and in selectiveness for the tuning properties of source and target cells. We show that the applied connection pattern leads to motion-based prediction in an experiment tracking a moving dot. In contrast to our proposed model, a network with random or isotropic connectivity fails to predict the path when the moving dot disappears. Furthermore, we show that a simple linear decoding approach is sufficient to transform neuronal spiking activity into a probabilistic estimate for reading out the target trajectory.}},
	Author = {Kaplan, Bernhard A. and Lansner, Anders and Masson, Guillaume S. and Perrinet, Laurent U.},
	Citeulike-Article-Id = {13330835},
	Citeulike-Linkout-0 = {http://dx.doi.org/10.3389/fncom.2013.00112},
	Citeulike-Linkout-1 = {http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3775506/},
	Citeulike-Linkout-2 = {http://view.ncbi.nlm.nih.gov/pubmed/24062680},
	Citeulike-Linkout-3 = {http://www.hubmed.org/display.cgi?uids=24062680},
	Date-Added = {2014-08-20 15:26:45 +0200},
	Date-Modified = {2014-08-20 15:26:45 +0200},
	Doi = {10.3389/fncom.2013.00112},
	Issn = {1662-5188},
	Journal = {Frontiers in computational neuroscience},
	Keywords = {motionextrapolation, thesis},
	Pmcid = {PMC3775506},
	Pmid = {24062680},
	Posted-At = {2014-08-20 14:22:25},
	Priority = {0},
	Title = {Anisotropic connectivity implements motion-based prediction in a spiking neural network.},
	Url = {http://dx.doi.org/10.3389/fncom.2013.00112},
	Volume = {7},
	Year = {2013},
	Bdsk-Url-1 = {http://dx.doi.org/10.3389/fncom.2013.00112}}

@article{Newsome88,
	Abstract = {{1. We investigated cells in the middle temporal visual area (MT) and the medial superior temporal area (MST) that discharged during smooth pursuit of a dim target in an otherwise dark room. For each of these pursuit cells we determined whether the response during pursuit originated from visual stimulation of the retina by the pursuit target or from an extraretinal input related to the pursuit movement itself. We distinguished between these alternatives by removing the visual motion stimulus during pursuit either by blinking off the visual target briefly or by stabilizing the target on the retina. 2. In the foveal representation of MT (MTf), we found that pursuit cells usually decreased their rate of discharge during a blink or during stabilization of the visual target. The pursuit response of these cells depends on visual stimulation of the retina by the pursuit target. 3. In a dorsal-medial region of MST (MSTd), cells continued to respond during pursuit despite a blink or stabilization of the pursuit target. The pursuit response of these cells is dependent on an extraretinal input. 4. In a lateral-anterior region of MST (MST1), we found both types of pursuit cells; some, like those in MTf, were dependent on visual inputs whereas others, like those in MSTd, received an extraretinal input. 5. We observed a relationship between pursuit responses and passive visual responses. MST cells whose pursuit responses were attributable to extraretinal inputs tended to respond preferentially to large-field random-dot patterns. Some cells that preferred small spots also had an extraretinal input. 6. For 92\% of the pursuit cells we studied, the pursuit response began after onset of the pursuit eye movement. A visual response preceding onset of the eye movement could be observed in many of these cells if the initial motion of the target occurred within the visual receptive field of the cell and in its preferred direction. In contrast to the pursuit response, however, this visual response was not dependent on execution of the pursuit movement. 7. For the remaining 8\% of the pursuit cells, the pursuit discharge began before initiation of the pursuit eye movement. This occurred even though the initial motion of the target was outside the receptive field as mapped during fixation trials. Our data suggest, however, that such responses may be attributable to an expansion of the receptive field that accompanies enhanced visual responses.(ABSTRACT TRUNCATED AT 400 WORDS)}},
	Author = {Newsome, W. T. and Wurtz, R. H. and Komatsu, H.},
	Citeulike-Article-Id = {6664950},
	Citeulike-Linkout-0 = {http://view.ncbi.nlm.nih.gov/pubmed/3171644},
	Citeulike-Linkout-1 = {http://www.hubmed.org/display.cgi?uids=3171644},
	Date-Added = {2014-07-18 12:10:30 +0000},
	Date-Modified = {2014-07-18 12:38:14 +0000},
	Issn = {0022-3077},
	Journal = {Journal of neurophysiology},
	Keywords = {jpp, motionextrapolation, thesis},
	Month = aug,
	Number = {2},
	Pages = {604--620},
	Pmid = {3171644},
	Posted-At = {2014-07-18 13:09:00},
	Priority = {2},
	Title = {Relation of cortical areas {MT} and {MST} to pursuit eye movements. II. Differentiation of retinal from extraretinal inputs.},
	Url = {http://view.ncbi.nlm.nih.gov/pubmed/3171644},
	Volume = {60},
	Year = {1988},
	Bdsk-Url-1 = {http://view.ncbi.nlm.nih.gov/pubmed/3171644}}

@article{PerrinetAdamsFriston14,
	Author = {Perrinet, Laurent U. and Adams, Rick A. and Friston, Karl},
	Date-Added = {2014-07-14 23:37:15 +0000},
	Date-Modified = {2014-07-14 23:46:45 +0000},
	Journal = {Biological Cybernetics},
	Keywords = {thesis},
	Title = {Active Inference, eye movements and oculomotor delays},
	Year = {2014}}

@article{Adams12,
	Abstract = {{This paper introduces a model of oculomotor control during the smooth pursuit of occluded visual targets. This model is based upon active inference, in which subjects try to minimise their (proprioceptive) prediction error based upon posterior beliefs about the hidden causes of their (exteroceptive) sensory input. Our model appeals to a single principle--the minimisation of variational free energy--to provide Bayes optimal solutions to the smooth pursuit problem. However, it tries to accommodate the cardinal features of smooth pursuit of partially occluded targets that have been observed empirically in normal subjects and schizophrenia. Specifically, we account for the ability of normal subjects to anticipate periodic target trajectories and emit pre-emptive smooth pursuit eye movements--prior to the emergence of a target from behind an occluder. Furthermore, we show that a single deficit in the postsynaptic gain of prediction error units (encoding the precision of posterior beliefs) can account for several features of smooth pursuit in schizophrenia: namely, a reduction in motor gain and anticipatory eye movements during visual occlusion, a paradoxical improvement in tracking unpredicted deviations from target trajectories and a failure to recognise and exploit regularities in the periodic motion of visual targets. This model will form the basis of subsequent (dynamic causal) models of empirical eye tracking measurements, which we hope to validate, using psychopharmacology and studies of schizophrenia.}},
	Author = {Adams, Rick A. and Perrinet, Laurent U. and Friston, Karl},
	Citeulike-Article-Id = {11560657},
	Citeulike-Linkout-0 = {http://www.biomedexperts.com/Abstract.bme/23110076},
	Citeulike-Linkout-1 = {http://dx.doi.org/10.1371/journal.pone.0047502},
	Citeulike-Linkout-2 = {http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3482214/},
	Citeulike-Linkout-3 = {http://view.ncbi.nlm.nih.gov/pubmed/23110076},
	Citeulike-Linkout-4 = {http://www.hubmed.org/display.cgi?uids=23110076},
	Date-Added = {2014-07-14 18:54:14 +0200},
	Date-Modified = {2014-07-14 18:54:14 +0200},
	Day = {26},
	Doi = {10.1371/journal.pone.0047502},
	Issn = {1932-6203},
	Journal = {PLoS ONE},
	Keywords = {motionextrapolation, thesis},
	Month = oct,
	Number = {10},
	Pages = {e47502+},
	Pmcid = {PMC3482214},
	Pmid = {23110076},
	Posted-At = {2014-01-22 13:49:35},
	Priority = {2},
	Publisher = {Public Library of Science},
	Title = {Smooth Pursuit and Visual Occlusion: Active Inference and Oculomotor Control in Schizophrenia},
	Url = {http://dx.doi.org/10.1371/journal.pone.0047502},
	Volume = {7},
	Year = {2012},
	Bdsk-Url-1 = {http://dx.doi.org/10.1371/journal.pone.0047502}}

@conference{KaplanKhoei14,
	Author = {Kaplan, Bernhard A. and Khoei, Mina A. and Lansner, Anders and Perrinet, Laurent U.},
	Booktitle = {Proceedings of the 2014 International Joint Conference on Neural Networks; Beijing, China},
	Date-Added = {2014-06-26 14:40:35 +0200},
	Date-Modified = {2014-06-26 14:43:21 +0200},
	Keywords = {thesis, bayesian, neural\_delays},
	Title = {Signature of an anticipatory response in area V1 as modeled by a probabilistic model and a spiking neural network},
	Year = {2014}}

@article{Baldo05,
	Author = {Marcus Baldo and Caticha, Nestor},
	Date-Added = {2014-06-26 08:12:13 +0000},
	Date-Modified = {2014-06-26 08:12:24 +0000},
	Doi = {10.1016/j.visres.2005.04.014},
	Issn = {0042-6989},
	Journal = {Vision research},
	Number = {20},
	Pages = {2620--2630},
	Title = {Computational neurobiology of the flash-lag effect.},
	Volume = {45},
	Year = {2005},
	Bdsk-Url-1 = {http://dx.doi.org/10.1016/j.visres.2005.04.014}}

@article{Arnold09,
	Abstract = {{When a brief static flash is presented in physical alignment with a moving target, the position of the flash can seem to lag behind that of the moving target. Various explanations exist. One of the most popular is the differential latency hypothesis. This assumes that neural latencies for moving stimuli are shorter than those for static stimuli. Accordingly, the flash lag would occur because perception is temporally fragmented, with moving stimuli seen before static. To test this, observers were asked to make different judgments concerning the same stimulus. Observers either judged if color changes in moving and static stimulus sections were synchronous, or whether the different stimulus sections were aligned at the time of a color change. If the flash-lag were driven by a simple differential latency, we would expect both judgments to be marked by a temporal advantage for moving stimuli. Our results suggest the contrary, as only the later judgment was marked by a flash-lag effect. The apparent timing of moving and static color changes was veridical. However, when we introduced a systematic differential latency, by modulating image contrast, both judgments were affected. Our data therefore suggest that a simple differential can modulate flash-lag type effects, but they do not cause the phenomenon.}},
	Author = {Arnold, Derek H. and Ong, Yolanda and Roseboom, Warrick},
	Citeulike-Article-Id = {11021922},
	Citeulike-Linkout-0 = {http://dx.doi.org/10.1167/9.5.4},
	Citeulike-Linkout-1 = {http://www.journalofvision.org/content/9/5/4.abstract},
	Citeulike-Linkout-2 = {http://www.journalofvision.org/content/9/5/4.full.pdf},
	Citeulike-Linkout-3 = {http://view.ncbi.nlm.nih.gov/pubmed/19757882},
	Citeulike-Linkout-4 = {http://www.hubmed.org/display.cgi?uids=19757882},
	Date-Added = {2014-06-25 13:57:25 +0200},
	Date-Modified = {2014-06-25 13:57:25 +0200},
	Day = {08},
	Doi = {10.1167/9.5.4},
	Issn = {1534-7362},
	Journal = {Journal of vision},
	Keywords = {motion\_anticipation, thesis},
	Month = may,
	Number = {5},
	Pmid = {19757882},
	Posted-At = {2014-05-17 23:46:39},
	Priority = {3},
	Publisher = {Association for Research in Vision and Ophthalmology},
	Title = {Simple differential latencies modulate, but do not cause the flash-lag effect.},
	Url = {http://dx.doi.org/10.1167/9.5.4},
	Volume = {9},
	Year = {2009},
	Bdsk-Url-1 = {http://dx.doi.org/10.1167/9.5.4}}

@article{Kanai04,
	Abstract = {{A moving object is perceived to lie beyond a static object presented at the same time at the same retinal location (flash-lag effect or FLE). Some studies report that if the moving stimulus stops moving (flash-terminated condition or FTC) the instant the flash occurs, a FLE does not occur. Other studies, using different stimuli, report that the FLE does, in fact, occur in the FTC. The FTC is thus a crucial turning point in theories of flash-lag. Unraveling the mystery of the FLE in the FTC will help unravel the mechanisms underpinning flash-lag and perhaps even perceptual localization in general. Our experiments show that eccentricity of the moving stimulus was a contributing factor, as were eccentricity of the flashed stimulus and spatial separation between the two stimuli. Other factors, such as contrast and offset of moving stimulus, also modulate the magnitude of the FLE in the FTC. We surmise that uncertainty in determining the position in space of a moving stimulus is a key requirement for the lag-effect. A lag-effect in the FTC challenges influential models, such as differential latency, motion extrapolation, and postdiction. Based partly on the notion of an asymmetric spread of activity that arises because of the sheer nature of motion and from a combination of established physiological mechanisms, we propose a schematic account of the present findings that subsumes previous psychological models and scaffolds past experimental findings. Copyright 2004 Elsevier Ltd.}},
	Address = {Universiteit Utrecht, Helmholtz Research Institute, Psychonomics division, Heidelberglaan 2, NL 3584 CS Utrecht, The Netherlands.},
	Author = {Kanai, Ryota and Sheth, Bhavin R. and Shimojo, Shinsuke},
	Citeulike-Article-Id = {1390701},
	Citeulike-Linkout-0 = {http://dx.doi.org/10.1016/j.visres.2003.10.028},
	Citeulike-Linkout-1 = {http://view.ncbi.nlm.nih.gov/pubmed/15358076},
	Citeulike-Linkout-2 = {http://www.hubmed.org/display.cgi?uids=15358076},
	Date-Added = {2014-06-25 13:56:31 +0200},
	Date-Modified = {2014-06-25 13:56:31 +0200},
	Doi = {10.1016/j.visres.2003.10.028},
	Issn = {0042-6989},
	Journal = {Vision research},
	Keywords = {motion\_anticipation, thesis},
	Month = oct,
	Number = {22},
	Pages = {2605--2619},
	Pmid = {15358076},
	Posted-At = {2014-05-17 23:49:02},
	Priority = {3},
	Title = {Stopping the motion and sleuthing the flash-lag effect: spatial uncertainty is the key to perceptual mislocalization.},
	Url = {http://dx.doi.org/10.1016/j.visres.2003.10.028},
	Volume = {44},
	Year = {2004},
	Bdsk-Url-1 = {http://dx.doi.org/10.1016/j.visres.2003.10.028}}

@inproceedings{Weiss01,
	Abstract = {{Recent approaches to estimating two-dimensional image motion and to modeling the perception of image motion have achieved success with Bayesian formulations. With a Bayesian approach, the goal is to compute the posterior probability distribution of velocity, which is proportional to a likelihood function and a prior. The likelihood function describes the probability of observing the image data given the image velocity; surprisingly, there is still disagreement about the right likelihood function to use. Here we derive a likelihood function by starting from a generative model. We assume that the scene translates, conserving image brightness, while the image is equal to the projected scene plus noise. We discuss the connection between the resulting likelihood function and existing models of motion analysis. We show that the likelihood can be calculated by a population of units whose response properties are similar to \motion energy \&quot; units. This suggests that a population of velocity tuned cells in visual cortex may be representing the likelihood function. 1}},
	Author = {Weiss, Yair and Fleet, David J.},
	Booktitle = {In Probabilistic Models of the Brain: Perception and Neural Function},
	Citeulike-Article-Id = {3955270},
	Citeulike-Linkout-0 = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.32.1021},
	Date-Added = {2014-06-22 17:47:55 +0200},
	Date-Modified = {2014-07-12 17:13:15 +0200},
	Keywords = {bayesian, motion\_estimation},
	Pages = {81--100},
	Posted-At = {2013-02-25 15:32:04},
	Priority = {2},
	Title = {Velocity likelihoods in biological and machine vision},
	Url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.32.1021},
	Year = {2001},
	Bdsk-Url-1 = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.32.1021}}

@article{Deneve07,
	Abstract = {{Several behavioral experiments suggest that the nervous system uses an internal model of the dynamics of the body to implement a close approximation to a Kalman filter. This filter can be used to perform a variety of tasks nearly optimally, such as predicting the sensory consequence of motor action, integrating sensory and body posture signals, and computing motor commands. We propose that the neural implementation of this Kalman filter involves recurrent basis function networks with attractor dynamics, a kind of architecture that can be readily mapped onto cortical circuits. In such networks, the tuning curves to variables such as arm velocity are remarkably noninvariant in the sense that the amplitude and width of the tuning curves of a given neuron can vary greatly depending on other variables such as the position of the arm or the reliability of the sensory feedback. This property could explain some puzzling properties of tuning curves in the motor and premotor cortex, and it leads to several new predictions.}},
	Author = {Deneve, Sophie and Duhamel, Jean-Rene and Pouget, Alexandre},
	Citeulike-Article-Id = {13209957},
	Citeulike-Linkout-0 = {http://dx.doi.org/10.1523/jneurosci.3985-06.2007},
	Date-Added = {2014-06-22 17:04:12 +0200},
	Date-Modified = {2014-06-22 17:04:12 +0200},
	Day = {23},
	Doi = {10.1523/jneurosci.3985-06.2007},
	Journal = {The Journal of Neuroscience},
	Keywords = {bayesian, kalman\_filter, motion-energy, neural-decoding, neural-representation, taouali14, thesis},
	Month = may,
	Number = {21},
	Pages = {5744--5756},
	Posted-At = {2014-06-22 16:00:41},
	Priority = {0},
	Publisher = {Society for Neuroscience},
	Title = {Optimal Sensorimotor Integration in Recurrent Cortical Networks: A Neural Implementation of Kalman Filters},
	Url = {http://dx.doi.org/10.1523/jneurosci.3985-06.2007},
	Volume = {27},
	Year = {2007},
	Bdsk-Url-1 = {http://dx.doi.org/10.1523/jneurosci.3985-06.2007}}

@article{Xivry13,
	Abstract = {{The brain makes use of noisy sensory inputs to produce eye, head, or arm motion. In most instances, the brain combines this sensory information with predictions about future events. Here, we propose that Kalman filtering can account for the dynamics of both visually guided and predictive motor behaviors within one simple unifying mechanism. Our model relies on two Kalman filters: (1) one processing visual information about retinal input; and (2) one maintaining a dynamic internal memory of target motion. The outputs of both Kalman filters are then combined in a statistically optimal manner, i.e., weighted with respect to their reliability. The model was tested on data from several smooth pursuit experiments and reproduced all major characteristics of visually guided and predictive smooth pursuit. This contrasts with the common belief that anticipatory pursuit, pursuit maintenance during target blanking, and zero-lag pursuit of sinusoidally moving targets all result from different control systems. This is the first instance of a model integrating all aspects of pursuit dynamics within one coherent and simple model and without switching between different parallel mechanisms. Our model suggests that the brain circuitry generating a pursuit command might be simpler than previously believed and only implement the functional equivalents of two Kalman filters whose outputs are optimally combined. It provides a general framework of how the brain can combine continuous sensory information with a dynamic internal memory and transform it into motor commands.}},
	Author = {de Xivry, Jean-Jacques O. and Coppe, S\'{e}bastien and Blohm, Gunnar and Lef\`{e}vre, Philippe},
	Citeulike-Article-Id = {12741571},
	Citeulike-Linkout-0 = {http://dx.doi.org/10.1523/jneurosci.2321-13.2013},
	Citeulike-Linkout-1 = {http://www.jneurosci.org/content/33/44/17301.abstract},
	Citeulike-Linkout-2 = {http://www.jneurosci.org/content/33/44/17301.full.pdf},
	Citeulike-Linkout-3 = {http://view.ncbi.nlm.nih.gov/pubmed/24174663},
	Citeulike-Linkout-4 = {http://www.hubmed.org/display.cgi?uids=24174663},
	Date-Added = {2014-06-22 16:57:23 +0200},
	Date-Modified = {2014-06-22 16:57:23 +0200},
	Day = {30},
	Doi = {10.1523/jneurosci.2321-13.2013},
	Issn = {1529-2401},
	Journal = {Journal of Neuroscience},
	Keywords = {bayesian, eye-movements, freemove, kalman\_filter, thesis},
	Month = oct,
	Number = {44},
	Pages = {17301--17313},
	Pmid = {24174663},
	Posted-At = {2014-06-22 15:53:58},
	Priority = {4},
	Publisher = {Society for Neuroscience},
	Title = {Kalman Filtering Naturally Accounts for Visually Guided and Predictive Smooth Pursuit Dynamics},
	Url = {http://dx.doi.org/10.1523/jneurosci.2321-13.2013},
	Volume = {33},
	Year = {2013},
	Bdsk-Url-1 = {http://dx.doi.org/10.1523/jneurosci.2321-13.2013}}

@article{kalman60,
	Author = {Kalman and Rudolph and Emil},
	Citeulike-Article-Id = {1506940},
	Date-Added = {2014-06-22 15:54:04 +0200},
	Date-Modified = {2014-06-24 21:40:45 +0000},
	Journal = {Transactions of the ASME--Journal of Basic Engineering},
	Keywords = {thesis},
	Number = {Series D},
	Pages = {35--45},
	Posted-At = {2014-06-22 14:42:12},
	Priority = {2},
	Title = {A New Approach to Linear Filtering and Prediction Problems},
	Volume = {82},
	Year = {1960}}

@article{Ogmen04,
	Author = {Haluk {\"O}{\u g}men and Patel, Saumil and Bedell, Harold and Camuz, Kaan},
	Date-Added = {2014-06-09 14:36:34 +0200},
	Date-Modified = {2014-06-09 14:37:05 +0200},
	Doi = {10.1016/j.visres.2004.04.003},
	Issn = {00426989},
	Journal = {Vision Research},
	Keywords = {thesis},
	Number = {18},
	Pages = {2109--2128},
	Title = {Differential latencies and the dynamics of the position computation process for moving targets, assessed with the flash-lag effect},
	Volume = {44},
	Year = {2004},
	Bdsk-Url-1 = {http://dx.doi.org/10.1016/j.visres.2004.04.003}}

@book{Rosen12,
	Author = {Rosen, Robert},
	Date-Added = {2014-06-04 10:16:49 +0200},
	Date-Modified = {2015-11-16 13:10:13 +0000},
	Edition = {2nd},
	Keywords = {thesis, neural\_delays},
	Publisher = {Springer},
	Series = {IFSR International Series on Systems Science and Engineering},
	Title = {Anticipatory Systems, Philosophical, Mathematical, and Methodological Foundations},
	Volume = {1},
	Year = {2012}}

@inproceedings{Lim06,
	Abstract = {{Abstract \^{a} In an environment that is temporal as well as spatial in nature, the nervous system of agents needs to deal with various forms of delay, internal or external. Neural (or internal) delay can cause serious problems because by the time the central nervous system receives an input from the periphery, the environmental state is already updated. To be in touch with reality in the present rather than in the past, such a delay has to be compensated. Our observation is that facilitatory dynamics found in synapses can effectively deal with delay by activating in an extrapolatory mode. The idea was tested in a modified 2D pole-balancing problem which included sensory delays. Within this domain, we tested the behavior of recurrent neural networks with facilitatory neural dynamics trained via neuroevolution. Analysis of the performance and the evolved network parameters showed that, under various forms of delay, networks utilizing facilitatory dynamics are at a significant competitive advantage compared to networks with other dynamics.}},
	Author = {Lim, Heejin and Choe, Yoonsuck},
	Booktitle = {Neural Information Processing Letters and Reviews},
	Citeulike-Article-Id = {13208501},
	Citeulike-Linkout-0 = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.90.8178},
	Date-Added = {2014-06-03 13:45:01 +0200},
	Date-Modified = {2014-06-05 09:56:15 +0200},
	Keywords = {motionextrapolation, neural\_delays, thesis},
	Pages = {147--161},
	Posted-At = {2014-06-03 12:40:01},
	Priority = {0},
	Title = {Compensating for neural transmission delay using extrapolatory neural activation in evolutionary neural networks},
	Url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.90.8178},
	Year = {2006},
	Bdsk-Url-1 = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.90.8178}}

@article{Lim08,
	Abstract = {{Neural conduction delay is a serious issue for organisms that need to act in real time. Various forms of flash-lag effect (FLE) suggest that the nervous system may perform extrapolation to compensate for delay. For example, in motion FLE, the position of a moving object is perceived to be ahead of a brief flash when they are actually colocalized. However, the precise mechanism for extrapolation at a single-neuron level has not been fully investigated. Our hypothesis is that facilitating synapses, with their dynamic sensitivity to the rate of change in the input, can serve as a neural basis for extrapolation. To test this hypothesis, we constructed and tested models of facilitating dynamics. First, we derived a spiking neuron model of facilitating dynamics at a single-neuron level, and tested it in the luminance FLE domain. Second, the spiking neuron model was extended to include multiple neurons and spike-timing-dependent plasticity (STDP), and was tested with orientation FLE. The results showed a strong relationship between delay compensation, FLE, and facilitating synapses/STDP. The results are expected to shed new light on real time and predictive processing in the brain, at the single neuron level.}},
	Author = {Lim, Heejin and Choe, Yoonsuck},
	Citeulike-Article-Id = {13051616},
	Citeulike-Linkout-0 = {http://dx.doi.org/10.1109/tnn.2008.2001002},
	Citeulike-Linkout-1 = {http://view.ncbi.nlm.nih.gov/pubmed/18842473},
	Citeulike-Linkout-2 = {http://www.hubmed.org/display.cgi?uids=18842473},
	Date-Added = {2014-06-03 13:40:14 +0200},
	Date-Modified = {2014-06-03 13:40:14 +0200},
	Doi = {10.1109/tnn.2008.2001002},
	Issn = {1941-0093},
	Journal = {IEEE transactions on neural networks / a publication of the IEEE Neural Networks Council},
	Keywords = {motionextrapolation, neural\_delays, thesis},
	Month = oct,
	Number = {10},
	Pages = {1678--1688},
	Pmid = {18842473},
	Posted-At = {2014-02-17 10:06:58},
	Priority = {3},
	Title = {Extrapolative delay compensation through facilitating synapses and its relation to the flash-lag effect.},
	Url = {http://dx.doi.org/10.1109/tnn.2008.2001002},
	Volume = {19},
	Year = {2008},
	Bdsk-Url-1 = {http://dx.doi.org/10.1109/tnn.2008.2001002}}

@article{Baker01,
	Author = {CI Baker and Keysers, C and Jellema, T and Wicker, B and Perrett, DI},
	Date-Added = {2014-05-31 11:32:20 +0000},
	Date-Modified = {2014-05-31 11:32:44 +0000},
	Issn = {0014-4819},
	Journal = {Experimental brain research},
	Keywords = {thesis},
	Number = {3},
	Pages = {375--381},
	Title = {Neuronal representation of disappearing and hidden objects in temporal cortex of the macaque.},
	Volume = {140},
	Year = {2001}}

@article{Kourtzi00,
	Author = {Z Kourtzi and Kanwisher, N},
	Date-Added = {2014-05-31 10:57:15 +0000},
	Date-Modified = {2014-05-31 10:57:57 +0000},
	Issn = {0898-929X},
	Journal = {Journal of cognitive neuroscience},
	Keywords = {thesis},
	Number = {1},
	Pages = {48--55},
	Title = {Activation in human MT/MST by static images with implied motion.},
	Volume = {12},
	Year = {2000}}

@article{Senior00,
	Author = {C Senior and Barnes, J and Giampietro, V and Simmons, A and Bullmore, ET and Brammer, M and David, AS},
	Date-Added = {2014-05-31 10:57:08 +0000},
	Date-Modified = {2014-05-31 10:58:01 +0000},
	Issn = {0960-9822},
	Journal = {Current biology : CB},
	Keywords = {thesis},
	Number = {1},
	Pages = {16--22},
	Title = {The functional neuroanatomy of implicit-motion perception or representational momentum.},
	Volume = {10},
	Year = {2000}}

@article{Lencer04,
	Author = {Rebekka Lencer and Nagel, Matthias and Sprenger, Andreas and Zapf, Silke and Erdmann, Christian and Heide, Wolfgang and Binkofski, Ferdinand},
	Date-Added = {2014-05-26 14:36:33 +0200},
	Date-Modified = {2014-05-26 14:36:53 +0200},
	Doi = {10.1111/j.1460-9568.2004.03229.x},
	Journal = {European Journal of Neuroscience},
	Keywords = {thesis},
	Number = {5},
	Pages = {1430--1436},
	Title = {Cortical mechanisms of smooth pursuit eye movements with target blanking. An fMRI study},
	Volume = {19},
	Year = {2004},
	Bdsk-Url-1 = {http://dx.doi.org/10.1111/j.1460-9568.2004.03229.x}}

@article{Olson04,
	Author = {Ingrid Olson and Gatenby and Leung, Hoi-Chung and Skudlarski, Pawel and Gore, John},
	Date-Added = {2014-05-26 14:35:41 +0200},
	Date-Modified = {2014-05-26 14:36:25 +0200},
	Doi = {10.1016/s0028-3932(03)00151-9},
	Issn = {00283932},
	Journal = {Neuropsychologia},
	Keywords = {thesis},
	Number = {1},
	Pages = {95--104},
	Title = {Neuronal representation of occluded objects in the human brain},
	Volume = {42},
	Year = {2004},
	Bdsk-Url-1 = {http://dx.doi.org/10.1016/s0028-3932(03)00151-9}}

@article{Barborica03,
	Author = {Andrei Barborica and Ferrera, Vincent},
	Date-Added = {2014-05-26 14:34:37 +0200},
	Date-Modified = {2014-05-26 14:35:14 +0200},
	Doi = {10.1038/nn990},
	Issn = {1097-6256},
	Journal = {Nat Neurosci},
	Keywords = {thesis},
	Number = {1},
	Pages = {66--74},
	Title = {Estimating invisible target speed from neuronal activity in monkey frontal eye field},
	Volume = {6},
	Year = {2003},
	Bdsk-Url-1 = {http://dx.doi.org/10.1038/nn990}}

@inproceedings{Akichika86,
	Abstract = {{limits of directional interactions for 105 directionally selective middle temporal (MT) neurons and 26 directionally selective striate (V 1) neurons. Directional interactions were measured using sequentially flashed stimuli in which the spatial and temporal intervals between stimuli were systematically varied over a broad range. A direction index was employed to determine the strength of directional interactions for each combination of spatial and temporal intervals tested. 2. The maximum spatial interval for which directional interactions occurred in a particular neuron was positively correlated with receptive-field size and with retinal eccentricity in both MT and Vl. The maximum spatial interval was, on average, three times as large in MT as in VI. The maximum temporal interval for which we obtained directional interactions was similar in MT and Vl and did not vary with receptive-field size or eccentricity. 3. The maximum spatial interval for directional interactions as measured with flashed stimuli was positively correlated with the maximum speed of smooth motion that yielded directional responses. MT neurons were directionally selective for higher speeds than were Vl neurons. 4. These observations indicate that the large receptive fields found in MT permit direc-tional interactions over longer distances than do the more limited receptive fields of Vl neurons. A functional advantage is thereby conferred on MT neurons because they detect directional differences for higher speeds than do VI neurons. 5. Recent psychophysical studies have measured the spatial and temporal limits for the perception of apparent motion in sequentially flashed visual displays. A comparison of the psychophysical results with our physiological data indicates that the spatiotemporal limits for perception are similar to the limits for direction selectivity in MT neurons but differ markedly from those for VI neurons. These observations suggest a correspondence between neuronal responses in MT and the short-range process of apparent motion.}},
	Author = {Mikami, Akichika and Newsome, William T. and Robert and Wurtz, H.},
	Booktitle = {J. Neurophysiol},
	Citeulike-Article-Id = {13159277},
	Citeulike-Linkout-0 = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.375.6200},
	Date-Added = {2014-05-05 11:29:27 +0200},
	Date-Modified = {2014-05-05 11:29:27 +0200},
	Keywords = {motion\_anticipation, motionextrapolation, thesis},
	Pages = {1340--1351},
	Posted-At = {2014-05-05 10:14:19},
	Priority = {0},
	Title = {Motion selectivity in macaque visual cortex. III. Psychophysics and physiology of apparent motion},
	Url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.375.6200},
	Year = {1986},
	Bdsk-Url-1 = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.375.6200}}

@article{Maus10a,
	Author = {Maus, Gerrit W and Weigelt, Sarah and Nijhawan, Romi and Muckli, Lars},
	Date-Added = {2014-05-05 10:53:28 +0200},
	Date-Modified = {2015-11-16 15:45:10 +0000},
	Doi = {10.3389/fpsyg.2010.00186},
	Issn = {1664-1078},
	Journal = {Frontiers in psychology},
	Title = {Does Area V3A Predict Positions of Moving Objects?},
	Volume = {1},
	Year = {2010},
	Bdsk-Url-1 = {http://dx.doi.org/10.3389/fpsyg.2010.00186}}

@article{Fischer09,
	Author = {Jason Fischer and Whitney, David},
	Date-Added = {2014-05-05 10:22:07 +0200},
	Date-Modified = {2014-05-05 10:22:31 +0200},
	Doi = {10.1002/hbm.20485},
	Issn = {1097-0193},
	Journal = {Human brain mapping},
	Keywords = {thesis},
	Number = {1},
	Pages = {101--111},
	Title = {Precise discrimination of object position in the human pulvinar.},
	Volume = {30},
	Year = {2009},
	Bdsk-Url-1 = {http://dx.doi.org/10.1002/hbm.20485}}

@article{Whitney07,
	Author = {David Whitney and Bressler, David},
	Date-Added = {2014-05-04 21:17:58 +0000},
	Date-Modified = {2014-05-04 21:18:26 +0000},
	Issn = {0042-6989},
	Journal = {Vision research},
	Keywords = {thesis},
	Number = {1},
	Pages = {50--59},
	Title = {Spatially asymmetric response to moving patterns in the visual cortex: re-examining the local sign hypothesis.},
	Volume = {47},
	Year = {2007}}

@article{Whitney03,
	Author = {David Whitney and Goltz, Herbert and Thomas, Christopher and Gati, Joseph and Menon, Ravi and Goodale, Melvyn},
	Date-Added = {2014-05-04 20:03:29 +0000},
	Date-Modified = {2014-05-04 20:04:14 +0000},
	Doi = {10.1126/science.1087839},
	Issn = {1095-9203},
	Journal = {Science (New York, N.Y.)},
	Keywords = {thesis},
	Number = {5646},
	Pages = {878--881},
	Title = {Flexible retinotopy: motion-dependent position coding in the visual cortex.},
	Volume = {302},
	Year = {2003},
	Bdsk-Url-1 = {http://dx.doi.org/10.1126/science.1087839}}

@article{Blasdel86,
	Author = {Gary Blasdel and Salama, Guy},
	Date-Added = {2014-05-03 20:01:55 +0000},
	Date-Modified = {2014-05-03 20:02:51 +0000},
	Doi = {10.1038/321579a0},
	Journal = {Nature},
	Keywords = {thesis},
	Number = {6070},
	Pages = {579--585},
	Title = {Voltage-sensitive dyes reveal a modular organization in monkey striate cortex},
	Volume = {321},
	Year = {1986},
	Bdsk-Url-1 = {http://dx.doi.org/10.1038/321579a0}}

@article{Changizi01,
	Author = {Mark Changizi},
	Date-Added = {2014-02-06 15:39:35 +0100},
	Date-Modified = {2014-07-12 14:26:41 +0200},
	Doi = {10.1068/p3158},
	Issn = {1468-4233},
	Journal = {Perception},
	Number = {2},
	Pages = {195--208},
	Title = {'Perceiving the present' as a framework for ecological explanations of the misperception of projected angle and angular size},
	Volume = {30},
	Year = {2001},
	Bdsk-Url-1 = {http://dx.doi.org/10.1068/p3158}}

@article{Changizi02,
	Author = {Mark Changizi and Widders, David},
	Date-Added = {2014-02-06 15:39:33 +0100},
	Date-Modified = {2014-07-12 14:26:49 +0200},
	Doi = {10.1068/p3412},
	Issn = {1468-4233},
	Journal = {Perception},
	Number = {10},
	Pages = {1241--1262},
	Title = {Latency correction explains the classical geometrical illusions},
	Volume = {31},
	Year = {2002},
	Bdsk-Url-1 = {http://dx.doi.org/10.1068/p3412}}

@article{Benvenuti11,
	Author = {Giacomo Benvenuti and Arjan Boonman and Frederic Chavane and Guillaume Masson},
	Date-Added = {2014-01-16 13:55:51 +0100},
	Date-Modified = {2014-07-06 18:21:15 +0000},
	Journal = {Abstracts of Society For Neuroscience},
	Title = {Building a directional anticipatory response along the motion trajectory Building a directional anticipatory response along the motion trajectory Building a directional anticipatory response along the motion trajectoryin monkey area V1},
	Year = {2011}}

@article{Khoei13,
	Author = {Khoei, Mina and Masson, Guillaume and Perrinet, Laurent},
	Date-Added = {2014-01-09 13:58:41 +0100},
	Date-Modified = {2014-07-06 14:36:29 +0000},
	Doi = {10.1016/j.jphysparis.2013.08.001},
	Issn = {09284257},
	Journal = {Journal of Physiology-Paris},
	Number = {5},
	Pages = {409--420},
	Title = {Motion-based prediction explains the role of tracking in motion extrapolation},
	Volume = {107},
	Year = {2013},
	Bdsk-Url-1 = {http://dx.doi.org/10.1016/j.jphysparis.2013.08.001}}

@inproceedings{Jancke09,
	Author = {Jancke, Dirk and Erlhagen, Wolfram},
	Booktitle = {Space and Time in Perception and Action},
	Chapter = {25},
	Date-Added = {2014-01-01 12:32:47 +0000},
	Date-Modified = {2016-03-06 16:45:25 +0000},
	Editor = {Nijhawan, R. and Khurana, Beena},
	Pages = {422-440},
	Publisher = {Cambridge Univ Press},
	Title = {Bridging the gap: a model of common neural mechanisms underlying the Fr{\"o}hlich effect, the flash-lag effect, and the representational momentum effect},
	Year = {2010}}

@article{Bogadhi13,
	Author = {Amarender Bogadhi and Montagnini, Anna and Masson, Guillaume},
	Date-Added = {2013-12-29 16:50:55 +0000},
	Date-Modified = {2013-12-29 16:52:11 +0000},
	Doi = {10.1167/13.13.5},
	Issn = {1534-7362},
	Journal = {Journal of Vision},
	Keywords = {thesis},
	Number = {13},
	Pages = {5},
	Title = {Dynamic interaction between retinal and extraretinal signals in motion integration for smooth pursuit},
	Volume = {13},
	Year = {2013},
	Bdsk-Url-1 = {http://dx.doi.org/10.1167/13.13.5}}

@article{McAnany09,
	Abstract = {Omitting a stimulus from a train of repetitive stimuli, by either interrupting or terminating the train, can elicit an electrophysiological response that occurs at the time appropriate for the omitted stimulus. This study investigated whether such an omitted stimulus response ({OSR}) is present in the flicker electroretinogram ({ERG}) of the human cone system. {ERGs} were recorded from 11 visually normal subjects in response to full-field sinusoidal flicker trains presented against a rod-desensitizing adapting field at frequencies ranging from 12.5 to 100 Hz. Recordings were synchronized with the onset of the stimulus trains, and the amplitude and relative delay of any additional {ERG} responses following the offset of the flicker train were analyzed. At stimulus frequencies below 35 Hz, the number of {ERG} responses always equaled the number of stimulus cycles. However, over the frequency range of 38.5 to 100 Hz, the {ERG} contained an extra response following flicker train offset. At stimulus frequencies from 38.5 to 62.5 Hz, there was a constant delay between the peak of the extra {ERG} response and the time at which the next stimulus would have occurred had the flicker train continued. This constant delay is characteristic of an {OSR}. In addition, an extra {ERG} response was apparent at these same stimulus frequencies if the flicker train was interrupted by omitting stimulus cycles from the middle of the train. The pattern of {ERG} findings is consistent with a recently proposed model of the {OSR} that attributes the phenomenon to a resonant oscillation in retinal bipolar cells.},
	Author = {McAnany, JASON J. and Alexander, Kenneth r.},
	Citeulike-Article-Id = {10672886},
	Citeulike-Linkout-0 = {http://dx.doi.org/10.1017/s0952523808080991},
	Citeulike-Linkout-1 = {http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2682626/},
	Citeulike-Linkout-2 = {http://view.ncbi.nlm.nih.gov/pubmed/19272196},
	Citeulike-Linkout-3 = {http://www.hubmed.org/display.cgi?uids=19272196},
	Date-Added = {2013-12-25 18:24:41 +0000},
	Date-Modified = {2014-07-21 21:43:27 +0000},
	Day = {9},
	Doi = {10.1017/s0952523808080991},
	Issn = {1469-8714},
	Journal = {Visual Neuroscience},
	Keywords = {khoei13jpp, retina; thesis},
	Month = mar,
	Number = {02},
	Pages = {189--194},
	Pmcid = {PMC2682626},
	Pmid = {19272196},
	Priority = {2},
	Title = {Is there an omitted stimulus response in the human cone flicker electroretinogram?},
	Url = {http://dx.doi.org/10.1017/s0952523808080991},
	Volume = {26},
	Year = {2009},
	Bdsk-Url-1 = {http://dx.doi.org/10.1017/s0952523808080991}}

@article{Watanamiuk94,
	Abstract = {Human observers can easily detect a signal dot moving, in apparent motion, on a trajectory embedded in a background of random-direction motion noise. A high detection rate is possible even though the spatial and temporal characteristics (step size and frame rate) of the signal are identical to the noise, making the signal indistinguishable from the noise on the basis of a single pair of frames. The success rate 3or detecting the signal dot was as high as 90\% when the probability of mismatch from frame-to-frame, based on nearest-neighbor matching, was 0.3. Control experiments showed that trajectory detection is not based on detecting a '' string'' of collinear dots, i.e. a stationary position cue. Nor is a trajectory detected because it produces stronger signals in single independent motion detectors. For one thing, trajectory detection improves with increases in duration, up to 250--400 msec, a duration longer than the integration typically associated with a single motion detector. For another, the signal dot need not travel in a straight line to be detectable. The signal dot was as reliably detected when it changed its direction a small amount (about 30 deg or less) each frame. Consistent with this, circular paths of sufficiently low curvature were as detectable as straight trajectories. Our data suggest that trajectory motion is highly detectable in motion noise because the component local motion signals are enhanced when motion detectors with similar directional tuning are stimulated in a sequence along their preferred direction.},
	Author = {Watamaniuk, Scott N. J. and McKee, Suzanne P. and Grzywacz, NM.},
	Citeulike-Article-Id = {12280586},
	Citeulike-Linkout-0 = {http://dx.doi.org/10.1016/0042-6989(94)E0047-O},
	Date-Added = {2013-12-25 18:24:41 +0000},
	Date-Modified = {2014-07-21 23:18:23 +0000},
	Doi = {10.1016/0042-6989(94)E0047-O},
	Journal = {Vision Research},
	Keywords = {kaplan13, khoei13jpp; thesis},
	Month = jan,
	Number = {1},
	Priority = {0},
	Title = {Detecting a trajectory embedded in random-direction motion noise},
	Url = {http://dx.doi.org/10.1016/0042-6989(94)E0047-O},
	Volume = {35},
	Year = {1995},
	Bdsk-Url-1 = {http://dx.doi.org/10.1016/0042-6989(94)E0047-O}}

@article{Robinson89,
	Author = {Robinson, D. A.},
	Citeulike-Article-Id = {11572928},
	Citeulike-Linkout-0 = {http://www.annualreviews.org/doi/pdf/10.1146/annurev.ne.12.030189.000341},
	Citeulike-Linkout-1 = {http://www.annualreviews.org/doi/abs/10.1146/annurev.ne.12.030189.000341},
	Citeulike-Linkout-2 = {http://dx.doi.org/10.1146/annurev.ne.12.030189.000341},
	Date-Added = {2013-12-25 18:24:41 +0000},
	Date-Modified = {2013-12-25 18:24:52 +0000},
	Doi = {10.1146/annurev.ne.12.030189.000341},
	Journal = {Annual Review of Neuroscience},
	Keywords = {integration, khoei13jpp; thesis},
	Number = {1},
	Pages = {33--45},
	Priority = {2},
	Title = {Integrating with Neurons},
	Url = {http://www.annualreviews.org/doi/pdf/10.1146/annurev.ne.12.030189.000341},
	Volume = {12},
	Year = {1989},
	Bdsk-Url-1 = {http://www.annualreviews.org/doi/pdf/10.1146/annurev.ne.12.030189.000341},
	Bdsk-Url-2 = {http://dx.doi.org/10.1146/annurev.ne.12.030189.000341}}

@article{VanBeers2002,
	Author = {van Beers, Robert J. and Wolpert, Daniel M. and Haggard, Patrick},
	Citeulike-Article-Id = {11571573},
	Citeulike-Linkout-0 = {http://dx.doi.org/10.1016/s0960-9822(02)00836-9},
	Date-Added = {2013-12-25 18:24:41 +0000},
	Date-Modified = {2013-12-25 18:24:52 +0000},
	Doi = {10.1016/s0960-9822(02)00836-9},
	Issn = {09609822},
	Journal = {Current Biology},
	Keywords = {khoei13jpp; thesis},
	Month = may,
	Number = {10},
	Pages = {834--837},
	Priority = {2},
	Title = {When Feeling Is More Important Than Seeing in Sensorimotor Adaptation},
	Url = {http://dx.doi.org/10.1016/s0960-9822(02)00836-9},
	Volume = {12},
	Year = {2002},
	Bdsk-Url-1 = {http://dx.doi.org/10.1016/s0960-9822(02)00836-9}}

@article{Ilg03,
	Author = {Ilg, U. J. and Thier, Peter P.},
	Citeulike-Article-Id = {11568093},
	Citeulike-Linkout-0 = {http://dx.doi.org/10.1152/jn.00272.2003},
	Date-Added = {2013-12-25 18:24:41 +0000},
	Date-Modified = {2013-12-25 18:24:52 +0000},
	Day = {7},
	Doi = {10.1152/jn.00272.2003},
	Issn = {1522-1598},
	Journal = {Journal of Neurophysiology},
	Keywords = {kaplan13, khoei13jpp; thesis},
	Month = may,
	Number = {3},
	Pages = {1489--1502},
	Priority = {2},
	Title = {Visual Tracking Neurons in Primate Area {MST} Are Activated by {Smooth-Pursuit} Eye Movements of an "Imaginary" Target},
	Url = {http://dx.doi.org/10.1152/jn.00272.2003},
	Volume = {90},
	Year = {2003},
	Bdsk-Url-1 = {http://dx.doi.org/10.1152/jn.00272.2003}}

@article{Maunsell1983,
	Abstract = {1. Recordings were made from single units in the middle temporal visual area ({MT}) of anesthetized, paralyzed macaque monkeys. A computer-driven stimulator was used to make quantitative tests of selectivity for stimulus direction, speed, and orientation. The data were taken from 168 units that were histologically identified as being in {MT}. 2. The results confirm previous reports of a high degree of direction selectivity in {MT}. The response above background to stimuli moving in a unit's preferred direction was, an average, 10.9 times that to stimuli moving in the opposite direction. There was a marked tendency for nearby units to have similar preferred directions. 3. Most units were also sharply tuned for the speed of stimulus motion. For some cells the response fell to less than half-maximal at speeds only a factor of two from the optimum; on average, responses were greater than half-maximal only over a 7.7-fold range of speed. The distribution of preferred speeds for different units was unimodal, with a peak near 32 degrees/s; the total range of preferred speeds extended from 2 to 256 degrees/s. Nearby units generally responded best to similar speeds of motion. 4. Most units in {MT} showed selectivity for stimulus orientation when tested with stationary, flashed bars. However, stationary stimuli generally elicited only brief responses; when averaged over the duration of the stimulus, the responses were much less than those to moving stimuli. The preferred orientation was usually, but not always, perpendicular to the preferred direction of movement. 5. A comparison of the results of the present study with a previous quantitative investigation in the owl monkey shows a striking similarity in response properties in {MT} of the two species. 6. The presence of both direction and speed selectivity in {MT} of the macaque suggests that this area is more specialized for the analysis of visual motion than has been previously recognized.},
	Author = {Maunsell, J. H. and {Van Essen}, D. C.},
	Citeulike-Article-Id = {11568092},
	Citeulike-Linkout-0 = {http://www.ncbi.nlm.nih.gov/pubmed/6864242},
	Date-Added = {2013-12-25 18:24:41 +0000},
	Date-Modified = {2013-12-25 18:24:52 +0000},
	Journal = {Journal of {N}europhysiology},
	Keywords = {animalsaotus, fascicularismalemotion, kaplan13, khoei13jpp, lobe, lobetemporal, perception, perceptionneuronsneurons, perceptionvisual, physiology, physiologyorientationphotic, physiologyvisual, stimulationtemporal, trivirgatusmacaca; thesis},
	Month = may,
	Number = {5},
	Priority = {2},
	Title = {Functional properties of neurons in middle temporal visual area of the macaque monkey. I. Selectivity for stimulus direction, speed, and orientation.},
	Url = {http://www.ncbi.nlm.nih.gov/pubmed/6864242},
	Volume = {49},
	Year = {1983},
	Bdsk-Url-1 = {http://www.ncbi.nlm.nih.gov/pubmed/6864242}}

@article{Dubner71,
	Author = {Dubner, R. and Zeki, S.},
	Citeulike-Article-Id = {11568091},
	Citeulike-Linkout-0 = {http://dx.doi.org/10.1016/0006-8993(71)90494-X},
	Date-Added = {2013-12-25 18:24:41 +0000},
	Date-Modified = {2013-12-25 18:24:52 +0000},
	Doi = {10.1016/0006-8993(71)90494-X},
	Issn = {0006-8993},
	Journal = {Brain Research},
	Keywords = {kaplan13, khoei13jpp; thesis},
	Month = dec,
	Number = {2},
	Pages = {528--532},
	Priority = {2},
	Title = {Response properties and receptive fields of cells in an anatomically defined region of the superior temporal sulcus in the monkey},
	Url = {http://dx.doi.org/10.1016/0006-8993(71)90494-X},
	Volume = {35},
	Year = {1971},
	Bdsk-Url-1 = {http://dx.doi.org/10.1016/0006-8993(71)90494-X}}

@article{Allman73,
	Author = {Allman, J. and Kaas, J. and Lane, R.},
	Citeulike-Article-Id = {11568090},
	Citeulike-Linkout-0 = {http://dx.doi.org/10.1016/0006-8993(73)90576-3},
	Date-Added = {2013-12-25 18:24:41 +0000},
	Date-Modified = {2013-12-25 18:24:52 +0000},
	Doi = {10.1016/0006-8993(73)90576-3},
	Issn = {0006-8993},
	Journal = {Brain Research},
	Keywords = {kaplan13, khoei13jpp; thesis},
	Month = jul,
	Number = {1},
	Pages = {197--202},
	Priority = {2},
	Title = {The middle temporal visual area ({MT}) in the {bushbaby,Galago} senegalensis},
	Url = {http://dx.doi.org/10.1016/0006-8993(73)90576-3},
	Volume = {57},
	Year = {1973},
	Bdsk-Url-1 = {http://dx.doi.org/10.1016/0006-8993(73)90576-3}}

@article{Robinson86,
	Abstract = {Human, horizontal, smooth-pursuit eye movements were recorded by the search coil method in response to Rashbass step-ramp stimuli of 5 to 30 deg/s. Eye velocity records were analyzed by measuring features such as the time, velocity and acceleration of the point of peak acceleration, the time and velocity of the peaks and troughs of ringing and steady-state velocity. These values were averaged and mean responses reconstructed. Three normal subjects were studied and their responses averaged. All showed a peak acceleration-velocity saturation. All had ringing frequencies near 3.8 Hz and the mean steady-state gain was 0.95.},
	Author = {Robinson, D. A. and Gordon, J. L. and Gordon, S. E.},
	Citeulike-Article-Id = {3926262},
	Citeulike-Linkout-0 = {http://dx.doi.org/10.1007/bf00363977},
	Citeulike-Linkout-1 = {http://www.springerlink.com/content/jq82311460814215},
	Date-Added = {2013-12-25 18:24:41 +0000},
	Date-Modified = {2013-12-25 18:24:52 +0000},
	Day = {1},
	Doi = {10.1007/bf00363977},
	Issn = {0340-1200},
	Journal = {Biological Cybernetics},
	Keywords = {freemove, khoei13jpp, spem; thesis},
	Month = oct,
	Number = {1},
	Pages = {43--57},
	Priority = {5},
	Publisher = {Springer Berlin / Heidelberg},
	Title = {A model of the smooth pursuit eye movement system},
	Url = {http://dx.doi.org/10.1007/bf00363977},
	Volume = {55},
	Year = {1986},
	Bdsk-Url-1 = {http://dx.doi.org/10.1007/bf00363977}}

@article{KrauzlisLisberger89,
	Author = {Krauzlis, R. J. and Lisberger, S. G.},
	Citeulike-Article-Id = {11486396},
	Citeulike-Linkout-0 = {http://dx.doi.org/10.1162/neco.1989.1.1.116},
	Date-Added = {2013-12-25 18:24:41 +0000},
	Date-Modified = {2013-12-25 18:24:52 +0000},
	Doi = {10.1162/neco.1989.1.1.116},
	Issn = {1530-888X},
	Journal = {Neural Computation},
	Keywords = {khoei13jpp; thesis},
	Month = mar,
	Number = {1},
	Pages = {116--122},
	Priority = {2},
	Publisher = {MIT Press},
	Title = {A Control Systems Model of Smooth Pursuit Eye Movements with Realistic Emergent Properties},
	Url = {http://dx.doi.org/10.1162/neco.1989.1.1.116},
	Volume = {1},
	Year = {1989},
	Bdsk-Url-1 = {http://dx.doi.org/10.1162/neco.1989.1.1.116}}

@article{BennetBarnes2003,
	Abstract = {During the course of pursuing a moving target there are often periods of transient disappearance as it moves behind objects and surfaces. In experimental settings, eye velocity decays rapidly on the extinction of a moving target. However, eye velocity does not decay to zero if there is an expectation the target will reappear further along its trajectory. Increasing eye velocity to coincide with target reappearance could minimize the developing velocity error, but it remains to be empirically verified whether this can be achieved. The aim of the present study was to examine the influence of stimulus predictability, target velocity, and interstimulus interval ({ISI}) on ocular pursuit during the transient disappearance of a visual target. We confirmed that subjects (n = 9) did not maintain eye velocity close to target velocity for the duration of the {ISI}. In general, after an initial reduction in eye velocity the majority of subjects (n = 7) exhibited a significant increase before target reappearance. The timing of the velocity increase was not influenced by target velocity, stimulus predictability, or {ISI}. Consequently, for the 900-ms {ISI} the increase occurred too early and the eye was decelerating at the moment of target reappearance. These results are consistent with a reduction in gain being applied to the visuomotor drive when the target disappeared, followed by a reactivation in expectation of target reappearance. We modeled this process such that gain was modulated within a reafferent feedback system, hence preserving its output in the absence of negative visual feedback and enabling an anticipatory increase in eye velocity before expected target reappearance.},
	Author = {Bennett, Simon J. and Barnes, Graham.},
	Citeulike-Article-Id = {11486377},
	Citeulike-Linkout-0 = {http://dx.doi.org/10.1152/jn.01145.2002},
	Citeulike-Linkout-1 = {http://view.ncbi.nlm.nih.gov/pubmed/14534275},
	Citeulike-Linkout-2 = {http://www.hubmed.org/display.cgi?uids=14534275},
	Date-Added = {2013-12-25 18:24:41 +0000},
	Date-Modified = {2014-07-22 13:40:23 +0200},
	Doi = {10.1152/jn.01145.2002},
	Issn = {0022-3077},
	Journal = {Journal of {N}europhysiology},
	Keywords = {kaplan13, khoei13jpp, motion-extrapolation, motion\_extrapolation; thesis},
	Month = oct,
	Number = {4},
	Pages = {2504--2520},
	Pmid = {14534275},
	Priority = {4},
	Title = {Human ocular pursuit during the transient disappearance of a visual target.},
	Url = {http://dx.doi.org/10.1152/jn.01145.2002},
	Volume = {90},
	Year = {2003},
	Bdsk-Url-1 = {http://dx.doi.org/10.1152/jn.01145.2002}}

@article{Goldreich92,
	Abstract = {
                1. Our goal was to discriminate between two classes of models for pursuit eye movements. The monkey's pursuit system and both classes of model exhibit oscillations around target velocity during tracking of ramp target motion. However, the mechanisms that determine the frequency of oscillations differ in the two classes of model. In "internal feedback" models, oscillations are controlled by internal feedback loops, and the frequency of oscillation does not depend strongly on the delay in visual feedback. In "image motion" models, oscillations are controlled by visual feedback, and the frequency of oscillation does depend on the delay in visual feedback. 2. We measured the frequency of oscillation during pursuit of ramp target motion as a function of the total delay for visual feedback. For the shortest feedback delays of approximately 70 ms, the frequency of oscillation was between 6 and 7 Hz. Increases in feedback delay caused decreases in the frequency of oscillation. The effect of increasing feedback delay was similar, whether the increases were produced naturally by dimming and decreasing the size of the tracking target or artificially with the computer. We conclude that the oscillations in eye velocity during pursuit of ramp target motion are controlled by visual inputs, as suggested by the image motion class of models. 3. Previous experiments had suggested that the visuomotor pathways for pursuit are unable to respond well to frequencies as high as the 6-7 Hz at which eye velocity oscillates in monkeys. We therefore tested the response to target vibration at an amplitude of +/- 8 degrees/s and frequencies as high as 15 Hz. For target vibration at 6 Hz, the gain of pursuit, defined as the amplitude of eye velocity divided by the amplitude of target velocity, was as high as 0.65. We conclude that the visuomotor pathways for pursuit are capable of processing image motion at high temporal frequencies. 4. The gain of pursuit was much larger when the target vibrated around a constant speed of 15 degrees/s than when it vibrated around a stationary position. This suggests that the pursuit pathways contain a switch that must be closed to allow the visuomotor pathways for pursuit to operate at their full gain. The switch apparently remains open for target vibration around a stationary position. 5. The responses to target vibration revealed a frequency at which eye velocity lagged target velocity by 180 degrees and at which one monkey showed a local peak in the gain of {pursuit.(ABSTRACT} {TRUNCATED} {AT} 400 {WORDS})
            },
	Author = {Goldreich, D. and Krauzlis, R. J. and Lisberger, S. G.},
	Citeulike-Article-Id = {11486369},
	Citeulike-Linkout-0 = {http://view.ncbi.nlm.nih.gov/pubmed/1578248},
	Citeulike-Linkout-1 = {http://www.hubmed.org/display.cgi?uids=1578248},
	Date-Added = {2013-12-25 18:24:41 +0000},
	Date-Modified = {2013-12-25 18:24:52 +0000},
	Issn = {0022-3077},
	Journal = {Journal of neurophysiology},
	Keywords = {khoei13jpp, motion-extrapolation; thesis},
	Month = mar,
	Number = {3},
	Pages = {625--638},
	Pmid = {1578248},
	Priority = {2},
	Title = {Effect of changing feedback delay on spontaneous oscillations in smooth pursuit eye movements of monkeys.},
	Url = {http://view.ncbi.nlm.nih.gov/pubmed/1578248},
	Volume = {67},
	Year = {1992},
	Bdsk-Url-1 = {http://view.ncbi.nlm.nih.gov/pubmed/1578248}}

@article{Churchland2003,
	Abstract = {
                We recorded the smooth-pursuit eye movements of monkeys in response to targets that were extinguished (blinked) for 200 ms in mid-trajectory. Eye velocity declined considerably during the target blinks, even when the blinks were completely predictable in time and space. Eye velocity declined whether blinks were presented during steady-state pursuit of a constant-velocity target, during initiation of pursuit before target velocity was reached, or during eye accelerations induced by a change in target velocity. When a physical occluder covered the trajectory of the target during blinks, creating the impression that the target moved behind it, the decline in eye velocity was reduced or abolished. If the target was occluded once the eye had reached target velocity, pursuit was only slightly poorer than normal, uninterrupted pursuit. In contrast, if the target was occluded during the initiation of pursuit, while the eye was accelerating toward target velocity, pursuit during occlusion was very different from normal pursuit. Eye velocity remained relatively stable during target occlusion, showing much less acceleration than normal pursuit and much less of a decline than was produced by a target blink. Anticipatory or predictive eye acceleration was typically observed just prior to the reappearance of the target. Computer simulations show that these results are best understood by assuming that a mechanism of eye-velocity memory remains engaged during target occlusion but is disengaged during target blinks.
            },
	Author = {Churchland, Mark M. and Chou, I-Han H. and Lisberger, Stephen G.},
	Citeulike-Article-Id = {6600110},
	Citeulike-Linkout-0 = {http://dx.doi.org/10.1152/jn.01056.2002},
	Citeulike-Linkout-1 = {http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2581619/},
	Citeulike-Linkout-2 = {http://view.ncbi.nlm.nih.gov/pubmed/12815015},
	Citeulike-Linkout-3 = {http://www.hubmed.org/display.cgi?uids=12815015},
	Date-Added = {2013-12-25 18:24:41 +0000},
	Date-Modified = {2013-12-25 18:24:52 +0000},
	Doi = {10.1152/jn.01056.2002},
	Issn = {0022-3077},
	Journal = {Journal of neurophysiology},
	Keywords = {khoei13jpp, spem; thesis},
	Month = oct,
	Number = {4},
	Pages = {2205--2218},
	Pmcid = {PMC2581619},
	Pmid = {12815015},
	Priority = {2},
	Title = {Evidence for object permanence in the smooth-pursuit eye movements of monkeys.},
	Url = {http://dx.doi.org/10.1152/jn.01056.2002},
	Volume = {90},
	Year = {2003},
	Bdsk-Url-1 = {http://dx.doi.org/10.1152/jn.01056.2002}}

@article{Robinson73,
	Author = {Robinson, D. A.},
	Citeulike-Article-Id = {6900640},
	Citeulike-Linkout-0 = {http://view.ncbi.nlm.nih.gov/pubmed/4206845},
	Citeulike-Linkout-1 = {http://www.hubmed.org/display.cgi?uids=4206845},
	Date-Added = {2013-12-25 18:24:41 +0000},
	Date-Modified = {2013-12-25 18:24:52 +0000},
	Day = {31},
	Issn = {0023-5946},
	Journal = {Kybernetik},
	Keywords = {decision, khoei13jpp, model, saccades; thesis},
	Month = dec,
	Number = {2},
	Pages = {71--83},
	Pmid = {4206845},
	Priority = {2},
	Title = {Models of the saccadic eye movement control system.},
	Url = {http://view.ncbi.nlm.nih.gov/pubmed/4206845},
	Volume = {14},
	Year = {1973},
	Bdsk-Url-1 = {http://view.ncbi.nlm.nih.gov/pubmed/4206845}}

@article{Robinson81,
	Author = {Robinson, D. A.},
	Citeulike-Article-Id = {441896},
	Citeulike-Linkout-0 = {http://www.annualreviews.org/doi/abs/10.1146/annurev.ne.04.030181.002335},
	Citeulike-Linkout-1 = {http://dx.doi.org/10.1146/annurev.ne.04.030181.002335},
	Citeulike-Linkout-2 = {http://view.ncbi.nlm.nih.gov/pubmed/7013640},
	Citeulike-Linkout-3 = {http://www.hubmed.org/display.cgi?uids=7013640},
	Date-Added = {2013-12-25 18:24:41 +0000},
	Date-Modified = {2013-12-25 18:24:52 +0000},
	Doi = {10.1146/annurev.ne.04.030181.002335},
	Issn = {0147-006X},
	Journal = {Annual Review of Neuroscience},
	Keywords = {khoei13jpp; thesis},
	Number = {1},
	Pages = {463--503},
	Pmid = {7013640},
	Priority = {2},
	Title = {The Use of Control Systems Analysis in the Neurophysiology of Eye Movements},
	Url = {http://dx.doi.org/10.1146/annurev.ne.04.030181.002335},
	Volume = {4},
	Year = {1981},
	Bdsk-Url-1 = {http://dx.doi.org/10.1146/annurev.ne.04.030181.002335}}

@article{Ilg97,
	Abstract = {Monkeys and humans are able to perform different types of slow eye movements. The analysis of the eye movement parameters, as well as the investigation of the neuronal activity underlying the execution of slow eye movements, offer an excellent opportunity to study higher brain functions such as motion processing, sensorimotor integration, and predictive mechanisms as well as neuronal plasticity and motor learning. As an example, since there exists a tight connection between the execution of slow eye movements and the processing of any kind of motion, these eye movements can be used as a biological, behavioural probe for the neuronal processing of motion. Global visual motion elicits optokinetic nystagmus, acting as a visual gaze stabilization system. The underlying neuronal substrate consists mainly of the cortico-pretecto-olivo-cerebellar pathway. Additionally, another gaze stabilization system depends on the vestibular input known as the vestibule-ocular reflex. The interactions between the visual and vestibular stabilization system are essential to fulfil the plasticity of the vestibule-ocular reflex representing a simple form of learning. Local visual motion is a necessary prerequisite for the execution of smooth pursuit eye movements which depend on the cortico-pontino-cerebellar pathway. In the wake of saccades, short-latency eye movements can be elicited by brief movements of the visual scene. Finally, eye movements directed to objects in different planes of depth consist of slow movements also. Although there is some overlap in the neuronal substrates underlying these different types of slow eye movements, there are brain areas whose activity can be associated exclusively with the execution of a special type of slow eye movement. (C) 1997 Elsevier Science Ltd.},
	Author = {Ilg, Uwe J.},
	Citeulike-Article-Id = {2503088},
	Citeulike-Linkout-0 = {http://dx.doi.org/10.1016/S0301-0082(97)00039-7},
	Date-Added = {2013-12-25 18:24:41 +0000},
	Date-Modified = {2013-12-25 18:24:52 +0000},
	Doi = {10.1016/S0301-0082(97)00039-7},
	Issn = {0301-0082},
	Journal = {Progress in Neurobiology},
	Keywords = {kaplan13, khoei13jpp, spem, visual-tracking; thesis},
	Month = oct,
	Number = {3},
	Pages = {293--329},
	Priority = {2},
	Title = {Slow eye movements},
	Url = {http://dx.doi.org/10.1016/S0301-0082(97)00039-7},
	Volume = {53},
	Year = {1997},
	Bdsk-Url-1 = {http://dx.doi.org/10.1016/S0301-0082(97)00039-7}}

@article{Pack01,
	Author = {Pack, C. C. and Born, R. T.},
	Citeulike-Article-Id = {11423860},
	Date-Added = {2013-12-25 18:24:41 +0000},
	Date-Modified = {2014-07-21 17:41:06 +0000},
	Journal = {Nature},
	Keywords = {khoei13jpp; thesis},
	Priority = {2},
	Title = {Temporal dynamics of a neural solution to the aperture problem in visual area {MT} of macaque brain},
	Volume = {409},
	Year = {2001}}

@article{Naka66,
	Author = {Naka, K. I. and Rushton, W. A.},
	Citeulike-Article-Id = {11423859},
	Date-Added = {2013-12-25 18:24:41 +0000},
	Date-Modified = {2013-12-25 18:24:52 +0000},
	Journal = {Journal of {P}hysiology},
	Keywords = {khoei13jpp; thesis},
	Month = aug,
	Number = {3},
	Priority = {2},
	Title = {S-potentials from luminosity units in the retina of fish ({C}yprinidae).},
	Volume = {185},
	Year = {1966}}

@article{Lisberger87,
	Abstract = {The function of smooth pursuit is to keep the fovea pointed at a small visual target that moves smoothly across a patterned background. Chemical lesions, single cell recordings, and behavioral measures have shown that the cortical motion processing pathways form the afferent limb for pursuit. Important areas include at least the striate cortex and the middle temporal visual area, and probably the medial superior temporal visual area and the posterior parietal cortex. We argue that the visual inputs are transmitted through a simple sensory motor interface in the pons, to the efferent limb in the brain stem and cerebellum. The efferent limb uses neural velocity memory to maintain pursuit automatically. We present evidence that the velocity memory is provided, at least in part, by eye velocity positive feedback between the flocculus of the cerebellum and the brain stem. Finally, we use a computer model to show how the maintenance of pursuit can be simulated on a millisecond time scale. The structure and internal elements of the model are based on the biological experiments reviewed in our paper. In the past five years, progress on the neural basis of pursuit eye movements has been rapid. Several areas of research have made substantial contributions, by using combinations of new and conventional methods. Many of the pathways that contribute to pursuit have been identified, and their physiological activity and functions are becoming understood. Continuing progress promises to yield an understanding of one specific form of visually guided movement, at the level of neuronal circuits and behavior, in the primate.},
	Author = {Lisberger, S. G. and Morris, E. J. and Tychsen, L.},
	Citeulike-Article-Id = {11423858},
	Citeulike-Linkout-0 = {http://dx.doi.org/10.1146/annurev.ne.10.030187.000525},
	Date-Added = {2013-12-25 18:24:41 +0000},
	Date-Modified = {2013-12-25 18:24:52 +0000},
	Doi = {10.1146/annurev.ne.10.030187.000525},
	Journal = {Annual {R}eview of {N}euroscience},
	Keywords = {khoei13jpp; thesis},
	Priority = {2},
	Title = {Visual motion processing and sensory-motor integration for smooth pursuit eye movements.},
	Url = {http://dx.doi.org/10.1146/annurev.ne.10.03018