{ "format": "oscr-script-manifest/1", "repository": "github.com/sourmpis/biologicallyinformed", "url": "https://github.com/Sourmpis/BiologicallyInformed", "host": "github.com", "commit": "e6f5984a57369dfbc42b47c26de6bbab2385f293", "license": "MIT", "license_confirmed_by": "license file LICENSE", "redistribution": "yes", "files": [ { "path": "Figures/figure1.ipynb", "sha256": "843f07cd1588f6ada083dcb022dd7a1033e467705ca41bd374747eb3797cf0f0", "language": "Jupyter", "lines": 329, "truncated": false, "block": 11, "row": 13390 }, { "path": "Figures/figure2.ipynb", "sha256": "7102f953dc3f6cfd052d298fb2416ac9dec9fe0adb4af0d739f52b8db47daab1", "language": "Jupyter", "lines": 477, "truncated": false, "block": 11, "row": 13655 }, { "path": "Figures/figure3.ipynb", "sha256": "8b7078cc8e8011b394ff9c3542878a58894be54dec074ed2bb5ef8ac3b3f0580", "language": "Jupyter", "lines": 542, "truncated": false, "block": 11, "row": 13639 }, { "path": "Figures/figure4.ipynb", "sha256": "0f96a2e0c2dfba2168f9fb8cf69eb8ffaa3c4c2504649f6dc8b2f53fab9a6057", "language": "Jupyter", "lines": 644, "truncated": false, "block": 11, "row": 13692 }, { "path": "Figures/figure5.ipynb", "sha256": "52525923422ed9a8ad3a155d56ffe7e1fb716815348cd06884798ef9678bf0a0", "language": "Jupyter", "lines": 427, "truncated": false, "block": 11, "row": 13528 }, { "path": "Figures/suppl_figure0.ipynb", "sha256": "f5e6d7550a5e7acb863058fae5644270d3c9b62ab1cecc64273c058b685d2b8c", "language": "Jupyter", "lines": 263, "truncated": false, "block": 11, "row": 13260 }, { "path": "Figures/suppl_figure1.ipynb", "sha256": "3617a4f3685fae0dc5b9c091e8d274080afe236a49fcd83ccf3a7398b976fb02", "language": "Jupyter", "lines": 367, "truncated": false, "block": 11, "row": 13514 }, { "path": "Figures/suppl_figure2.ipynb", "sha256": "912d512a007b292462ceb967c6ace55b4014eb5c02bbf1719c57b5673cf80b15", "language": "Jupyter", "lines": 189, "truncated": false, "block": 11, "row": 13154 }, { "path": "Figures/suppl_figure3.ipynb", "sha256": "ea5b0ab259159c1daf98a7e88854df9ffc2973dc24d9b91a0c280ce55193cf37", "language": "Jupyter", "lines": 287, "truncated": false, "block": 11, "row": 13255 }, { "path": "Figures/suppl_figure4.ipynb", "sha256": "15b5ab9a5caf232186ce1a023fef02931d93edb42edfbc7db7b8b6e1f497c51d", "language": "Jupyter", "lines": 330, "truncated": false, "block": 11, "row": 13445 }, { "path": "LICENSE", "sha256": "5f20bcde938a1c388d39cac0a8736839aad57d727b2c9c18556984e756098b10", "language": "License", "lines": 21, "truncated": false, "block": 11, "row": 14159 }, { "path": "README.md", "sha256": "725a015cc49f6539578bb2fcf62e80dd0f6f904ca34bf9fa8d31ffc8765e5796", "language": "Text", "lines": 82, "truncated": false, "block": 13, "row": 6475 }, { "path": "datasets/dataloader.py", "sha256": "73682fc0726a7be990428198405e949ab19a1d1dd01172fcb9f4d943f078942b", "language": "Python", "lines": 443, "truncated": false, "block": 12, "row": 20872 }, { "path": "datasets/datastructure2datasetandvideo_Vahid.py", "sha256": "283f60bdb72e97efd7fb191284b25fcf33c8ce86390803ce40a00a040ce55c2c", "language": "Python", "lines": 198, "truncated": false, "block": 12, "row": 16176 }, { "path": "datasets/prepare_input.py", "sha256": "55a8ec50193aa4e1c37a593c4d2c474ea43cb73e55252bbb86d256b75a266cde", "language": "Python", "lines": 50, "truncated": false, "block": 12, "row": 8117 }, { "path": "datasets/pseudodata2areas.py", "sha256": "a0164f3dab2ead960390fac72f9a076b0916c09d8daf75ad39cb8e520997cae3", "language": "Python", "lines": 354, "truncated": false, "block": 12, "row": 19800 }, { "path": "infopath/config.py", "sha256": "d197df38dc43b80a3453635b3ffc49a58c52b99dcb338d3ef4d276969d01d2d2", "language": "Python", "lines": 502, "truncated": false, "block": 12, "row": 19978 }, { "path": "infopath/lick_classifier.py", "sha256": "b025edf3917d9279787359eb579c6b56a639e9b032072ab201124b82f900ca63", "language": "Python", "lines": 75, "truncated": false, "block": 12, "row": 9970 }, { "path": "infopath/loss_splitter.py", "sha256": "444b4dad80243aa7edcc446e3e790f6b9716f17686a0239737bb124bd90050de", "language": "Python", "lines": 252, "truncated": false, "block": 12, "row": 16874 }, { "path": "infopath/losses.py", "sha256": "b771006858f69a56418b1af962290592fa166a8bd275454c9292e9995eb9765c", "language": "Python", "lines": 754, "truncated": false, "block": 12, "row": 21990 }, { "path": "infopath/model_loader.py", "sha256": "6c04104bbcb84ecfe2c6619f9213abaf9291c13d57443492f85c7645cb4795a1", "language": "Python", "lines": 712, "truncated": false, "block": 12, "row": 22009 }, { "path": "infopath/opto.py", "sha256": "cde06a63d66eaaa786e17ba35f221d5e7f02e4d3a85bc29e8c678edc71eb5586", "language": "Python", "lines": 356, "truncated": false, "block": 12, "row": 18818 }, { "path": "infopath/session_stitching.py", "sha256": "b064fc34fb92e6fa835c72bb6a1ec78fb4fc0f8ac47cf96ae90c5f7e4be8b4e8", "language": "Python", "lines": 119, "truncated": false, "block": 12, "row": 13639 }, { "path": "infopath/train.py", "sha256": "9c2c44a704f8673e0af6136f67108dd41ead7fe9d6b2b1f102cbaaf97f7922c0", "language": "Python", "lines": 704, "truncated": false, "block": 12, "row": 21367 }, { "path": "infopath/utils/functions.py", "sha256": "bbcf81d9e7e7dbb5615867d076e2ade52fc41eea7473417b1bd432da284882c4", "language": "Python", "lines": 721, "truncated": false, "block": 12, "row": 21269 }, { "path": "infopath/utils/logger.py", "sha256": "97db53e723861b943b2503bdcf8715adbc8b54936c6e561f11a1ddd3c83eebd4", "language": "Python", "lines": 351, "truncated": false, "block": 12, "row": 19027 }, { "path": "infopath/utils/parameter_recovery.py", "sha256": "fa2102852286ca30d28de41e1e3be884bf174cc4ce843fb6d8906afd7375dbb3", "language": "Python", "lines": 180, "truncated": false, "block": 12, "row": 15532 }, { "path": "infopath/utils/plot_utils.py", "sha256": "520a802c6206e5271e76b43faf17c5e93782f46be9a0ec669c59ba078731f052", "language": "Python", "lines": 1192, "truncated": false, "block": 13, "row": 141 }, { "path": "models/pop_rsnn.py", "sha256": "c9d073073270e2a7ffe6b1d65a2d63f9a7a2c65bb5a27d906f1fb8decb4cfbc1", "language": "Python", "lines": 338, "truncated": false, "block": 12, "row": 19777 }, { "path": "models/rec_weight_matrix.py", "sha256": "3a8b29e44077982d3ab4c450961cae6acf1dd29a229b1ba8b58bff58615acd18", "language": "Python", "lines": 104, "truncated": false, "block": 12, "row": 11353 }, { "path": "models/rsnn.py", "sha256": "faee43bd9d7628e942f56e3303f1cbcb49b102afe0f803842bdb55141a0fd96b", "language": "Python", "lines": 890, "truncated": false, "block": 13, "row": 109 }, { "path": "models/rsnn_nocond_nojawfeedback.py", "sha256": "e8bb094164d61d1f4e25029b24496da25aa1aea2c089d58a1d39d1f14a71afa5", "language": "Python", "lines": 899, "truncated": false, "block": 13, "row": 117 }, { "path": "setup.py", "sha256": "5a4bb08f8bfce31738d6b6c08a9ebfc47530d42571ec34fa076303753def4bbc", "language": "Python", "lines": 56, "truncated": false, "block": 12, "row": 7725 }, { "path": "setup.sh", "sha256": "3a016df9d4b56d3268ddc9189eea3fd9964aec95cfe8db578451a1f501e9e201", "language": "Shell", "lines": 10, "truncated": false, "block": 13, "row": 4300 } ] }