{
 "format": "oscr-script-manifest/1",
 "repository": "github.com/engellab/activationmattersrnn",
 "url": "https://github.com/engellab/ActivationMattersRNN",
 "host": "github.com",
 "commit": "14ba306911a082c74af2d38643e64bda413776b3",
 "license": "MIT",
 "license_confirmed_by": "license file LICENSE",
 "redistribution": "yes",
 "files": [
  {
   "path": "LICENSE",
   "sha256": "57cff21ed6d6770e1bb6441ec5de2279590671f728bfc58b6b3bfdcffa2e73e8",
   "language": "License",
   "lines": 21,
   "truncated": false,
   "block": 17,
   "row": 7583
  },
  {
   "path": "README.md",
   "sha256": "a62e64d7d98c1932c1e14205043d1e462a565b21b685e110122cd942df54ccad",
   "language": "Text",
   "lines": 218,
   "truncated": false,
   "block": 18,
   "row": 11152
  },
  {
   "path": "activation_matters/analysis/behavior_analysis_CDDM.py",
   "sha256": "d9731dcc07f8f088181afafc0561dbed9b737acbd94c2f21b35eb4c73d645c62",
   "language": "Python",
   "lines": 179,
   "truncated": false,
   "block": 17,
   "row": 31831
  },
  {
   "path": "activation_matters/analysis/computing_fp.py",
   "sha256": "e4ffc92cf4662dd86873fb64f07c300e55cc0d2b2d2a90a451a888b6418b005d",
   "language": "Python",
   "lines": 186,
   "truncated": false,
   "block": 17,
   "row": 31677
  },
  {
   "path": "activation_matters/analysis/fixed_point_analysis.py",
   "sha256": "57ba07287cc2c7db410de18b70373368aa402f99f2dd96d4d735ce62dc57e89a",
   "language": "Python",
   "lines": 235,
   "truncated": false,
   "block": 18,
   "row": 947
  },
  {
   "path": "activation_matters/analysis/get_tuning_configurations_variance_explained_3PCs.py",
   "sha256": "317654f7a97dc620f331f6191a161c244f0cbca2f70fff97042c9f70d7f00ca8",
   "language": "Python",
   "lines": 72,
   "truncated": false,
   "block": 17,
   "row": 25771
  },
  {
   "path": "activation_matters/analysis/oblique_vs_aligned_dynamics.py",
   "sha256": "5419fece6707e47f751c1a4210c782673a2488aab4319c2c187f5054ebd3b927",
   "language": "Python",
   "lines": 107,
   "truncated": false,
   "block": 17,
   "row": 27671
  },
  {
   "path": "activation_matters/analysis/renaming_files.py",
   "sha256": "7294d05628a53ed4f26d7c51a52277e57f0cc85ec3e322a42410266a1d761393",
   "language": "Python",
   "lines": 23,
   "truncated": false,
   "block": 17,
   "row": 19568
  },
  {
   "path": "activation_matters/analysis/run_entire_pipeline.py",
   "sha256": "efa574e07de2df7bddb60a50da0b9247f834e911402318278facee31cbc776a4",
   "language": "Python",
   "lines": 52,
   "truncated": false,
   "block": 17,
   "row": 23148
  },
  {
   "path": "activation_matters/analysis/selectivity_analysis.py",
   "sha256": "34e3f29d904c556277b6e84b10682ae17d2e86fafe511b6af94ab82cbb5b7402",
   "language": "Python",
   "lines": 213,
   "truncated": false,
   "block": 17,
   "row": 32637
  },
  {
   "path": "activation_matters/analysis/trajectory_analysis.py",
   "sha256": "5e665f9733f2ba33ac68d39e54205ec1b51ba6f645ef8c692bdc4455763ff6af",
   "language": "Python",
   "lines": 172,
   "truncated": false,
   "block": 17,
   "row": 31106
  },
  {
   "path": "activation_matters/analysis/trajectory_endpoints_analysis.py",
   "sha256": "1ca55ea3d29aff3ec38991f29a8451b4cedd12d4aab985e15f8a49489a098882",
   "language": "Python",
   "lines": 239,
   "truncated": false,
   "block": 18,
   "row": 367
  },
  {
   "path": "activation_matters/plots/ploting_utils.py",
   "sha256": "582eacaab82298018d09a29bcabf65972dabd61b82658909ae03aedeb9440d85",
   "language": "Python",
   "lines": 586,
   "truncated": false,
   "block": 18,
   "row": 3860
  },
  {
   "path": "activation_matters/plots/plotting_MDS_embedding_fixed_point_configurations.py",
   "sha256": "32a364165279c4116c82ffcc08443ccdb43a2d062c32cf774444c6eb7ab0b5d5",
   "language": "Python",
   "lines": 91,
   "truncated": false,
   "block": 17,
   "row": 26310
  },
  {
   "path": "activation_matters/plots/plotting_MDS_embedding_shuffled_RNNs.py",
   "sha256": "e81e3a63e928c3dbc4605958e0780d79e5a92afe673aab742afb4560b9f47c62",
   "language": "Python",
   "lines": 95,
   "truncated": false,
   "block": 17,
   "row": 27196
  },
  {
   "path": "activation_matters/plots/plotting_MDS_embedding_single_unit_selectivity.py",
   "sha256": "9b055f5c67fa2550168ecac75f57c60708829d910e24f0503aacb40bbbf3668a",
   "language": "Python",
   "lines": 92,
   "truncated": false,
   "block": 17,
   "row": 26253
  },
  {
   "path": "activation_matters/plots/plotting_MDS_embedding_trajectories.py",
   "sha256": "012d9f423141e9a7f970ddce4798bbd137492ea30f370920df1524a1905b0d44",
   "language": "Python",
   "lines": 93,
   "truncated": false,
   "block": 17,
   "row": 26352
  },
  {
   "path": "activation_matters/plots/plotting_MDS_embedding_trajectory_endpoints.py",
   "sha256": "6e443a37bcf31add78a7fce2a4f9e8af71d40cadce4a9b03705561a916838ba3",
   "language": "Python",
   "lines": 107,
   "truncated": false,
   "block": 17,
   "row": 27825
  },
  {
   "path": "activation_matters/plots/plotting_RNNs_score_distributions.py",
   "sha256": "435b468eaaae416b679f5262a88d0cf37ad71f4490873df1aea5cf177b959d54",
   "language": "Python",
   "lines": 127,
   "truncated": false,
   "block": 17,
   "row": 28845
  },
  {
   "path": "activation_matters/plots/plotting_all_embeddings.py",
   "sha256": "bcba498c5bddcbe18adf832d446538dbf01510a4ba1177adab5b1a36604a40db",
   "language": "Python",
   "lines": 28,
   "truncated": false,
   "block": 17,
   "row": 21043
  },
  {
   "path": "activation_matters/plots/plotting_behavior_analysis_CDDM.py",
   "sha256": "d9731dcc07f8f088181afafc0561dbed9b737acbd94c2f21b35eb4c73d645c62",
   "language": "Python",
   "lines": 179,
   "truncated": false,
   "block": 17,
   "row": 31831
  },
  {
   "path": "activation_matters/plots/plotting_individual_endpoints.py",
   "sha256": "a7f02285695113197c6e20f49ceaa01bafc82fa2bae1537964b6e63c279d08e8",
   "language": "Python",
   "lines": 139,
   "truncated": false,
   "block": 17,
   "row": 29946
  },
  {
   "path": "activation_matters/plots/plotting_individual_fixed_point_configurations.py",
   "sha256": "02b7de23c1cea938d40d952b835758e5e914daf45cd25b44186112f7d30e5292",
   "language": "Python",
   "lines": 105,
   "truncated": false,
   "block": 17,
   "row": 29374
  },
  {
   "path": "activation_matters/plots/plotting_individual_selectivities.py",
   "sha256": "d201369d4ec9156dfa6759841bc70b1866618563b8fab71897d9fa8ee35aba55",
   "language": "Python",
   "lines": 113,
   "truncated": false,
   "block": 17,
   "row": 29090
  },
  {
   "path": "activation_matters/plots/plotting_individual_trajectories.py",
   "sha256": "caa1ee64456008f6c1e375cf3a514d417221f8928a058a5991322f8066a31213",
   "language": "Python",
   "lines": 125,
   "truncated": false,
   "block": 17,
   "row": 29357
  },
  {
   "path": "activation_matters/plots/style/style_setup.py",
   "sha256": "9398dd4a5e13dd4659a5baf7f1f60e3c30456b2b9ee959257cd314f2e39bad1d",
   "language": "Python",
   "lines": 33,
   "truncated": false,
   "block": 17,
   "row": 21160
  },
  {
   "path": "activation_matters/utils/cca_core.py",
   "sha256": "0ea1f39a5a5ee44226e65e269113a4e2ed6d6a640d812cd5a5fa1eb7a0312c71",
   "language": "Python",
   "lines": 405,
   "truncated": false,
   "block": 18,
   "row": 2516
  },
  {
   "path": "activation_matters/utils/feautre_extraction_utils.py",
   "sha256": "7afdc55573b873dbc40b7f930f3fe5843e0426566c91a8633eb1f22b45300480",
   "language": "Python",
   "lines": 368,
   "truncated": false,
   "block": 18,
   "row": 2968
  },
  {
   "path": "activation_matters/utils/functional_dissimilarity.py",
   "sha256": "0e58bd982779dac7f71f43bf50854d1e3d0cfe44b4204278b64c33ed87bb0a58",
   "language": "Python",
   "lines": 446,
   "truncated": false,
   "block": 18,
   "row": 3158
  },
  {
   "path": "activation_matters/utils/get_intercluster_connectivity.py",
   "sha256": "754a946f9d9e77cad90c3dadf873e83e199cdb0f52d657ec430c4ada7b95a563",
   "language": "Python",
   "lines": 67,
   "truncated": false,
   "block": 17,
   "row": 23682
  },
  {
   "path": "activation_matters/utils/graph_clustering.py",
   "sha256": "b2aeee14de5d8f308f3c843c3945e98f208941ea1f632d4f1cb3b83e9dd727be",
   "language": "Python",
   "lines": 254,
   "truncated": false,
   "block": 18,
   "row": 761
  },
  {
   "path": "activation_matters/utils/make_RNN_datasets_utils.py",
   "sha256": "481d68f103a374dd9f2ae48fa9db241b85401e767b65f8aa0283fed4c51ac194",
   "language": "Python",
   "lines": 62,
   "truncated": false,
   "block": 17,
   "row": 23184
  },
  {
   "path": "activation_matters/utils/neurons_scoring.py",
   "sha256": "728cbaa5cc691d42ab3132697d0be1e9a032c3730ccc7f65017a658bc222f7e1",
   "language": "Python",
   "lines": 45,
   "truncated": false,
   "block": 17,
   "row": 22583
  },
  {
   "path": "activation_matters/utils/representations_utils.py",
   "sha256": "5ce8d91c2a3172b506270537d8e36297e7729d0440367db6813a3782cbf683ce",
   "language": "Python",
   "lines": 93,
   "truncated": false,
   "block": 17,
   "row": 25656
  },
  {
   "path": "activation_matters/utils/trajectories_utils.py",
   "sha256": "ef1bc5a349e3f3d7d602b68c922a940620d3d84524d0111d6486f7f0fb5dcf2b",
   "language": "Python",
   "lines": 101,
   "truncated": false,
   "block": 17,
   "row": 27437
  },
  {
   "path": "activation_matters/utils/utils.py",
   "sha256": "76f988c1e78c640ad4e311e6ff86171f9fde9165ef7dc71bf209d045ad1c2649",
   "language": "Python",
   "lines": 81,
   "truncated": false,
   "block": 17,
   "row": 24196
  },
  {
   "path": "setup.py",
   "sha256": "5548bd437bc91c868bfb3388bb254abe8acd29b39543541666832941f0dc6662",
   "language": "Python",
   "lines": 10,
   "truncated": false,
   "block": 17,
   "row": 18113
  }
 ]
}