# Attribution These weights are derived from, and are only meaningful together with, the following sources. ## Connectome (network wiring, synapse signs, neuron positions, retina columns) FlyWire whole-brain connectome of an adult female *Drosophila melanogaster*, Codex snapshot 783 (`connections.csv.gz`, `neurons.csv.gz`, `classification.csv.gz`, `consolidated_cell_types.csv.gz`, `coordinates.csv.gz`, `column_assignment.csv.gz`). Licence of the Codex release: **CC BY-NC 4.0** (https://flywire.ai/guidelines). The Zenodo mirror of the connectivity data is CC BY 4.0 (doi:10.5281/zenodo.10676866). * Dorkenwald, S., Matsliah, A., Sterling, A. R., Schlegel, P., Yu, S.-C., McKellar, C. E., et al. Neuronal wiring diagram of an adult brain. *Nature* 634, 124–138 (2024). doi:10.1038/s41586-024-07558-y * Schlegel, P., Yin, Y., Bates, A. S., et al. Whole-brain annotation and multi-connectome cell typing of *Drosophila*. *Nature* 634, 139–152 (2024). doi:10.1038/s41586-024-07686-5 * Matsliah, A., Yu, S.-C., Kruk, K., et al. Neuronal parts list and wiring diagram for a visual system. *Nature* 634, 166–180 (2024). doi:10.1038/s41586-024-07981-1 (optic-lobe column assignments) * Eckstein, N., Bates, A. S., Champion, A., et al. Neurotransmitter classification from electron microscopy images at synaptic sites in *Drosophila melanogaster*. *Cell* 187, 2574–2594 (2024) (transmitter predictions behind the synapse signs) * The FlyWire Consortium. FlyWire Whole-brain Connectome Connectivity Data (783.0) [Data set]. Zenodo (2024). ## Training data * Lichess open database, https://database.lichess.org — monthly standard rated games 2014-01 … 2015-12 and the evaluation database (`lichess_db_eval.jsonl.zst`). Released under CC0 1.0. * Stockfish (https://stockfishchess.org, GPL-3.0) produced the evaluations in the Lichess evaluation database; no Stockfish code is included here. ## Modelling ideas * Lappalainen, J. K., et al. Connectome-constrained networks predict neural activity across the fly visual system. *Nature* 634, 1132–1140 (2024) — connectome-constrained training with sign constraints. * Shiu, P. K., et al. A *Drosophila* computational brain model reveals sensorimotor processing. *Nature* 634, 210–219 (2024) — whole-FlyWire-brain leaky integrate-and-fire modelling. ## Software * Training and inference code: https://github.com/cesp99/fly-chess (MIT, Carlo Esposito). * PyTorch (BSD-3), python-chess (GPL-3.0, used as a library by the training code only; not part of the weights).