OpenScientificCodeRegistry/Database
Open Scientific Code Registry (OSCR): the authors' scripts The code published by the authors of open-access neuroscience papers, as found and verified by Open Scientific Code Registry (OSCR). Each file is here exactly as it is at the source, at the verified commit, under the license of its repository. 421,275 unique files (3,782 MB of text) from 8,849 repositories, in 24 Parquet block(s). Only files whose repository's license allows redistribution, confirmed by the repository's… See the full description on the dataset page: https://huggingface.co/datasets/OpenScientificCodeRegistry/Database.
05.6k
1{2 "format": "oscr-script-manifest/1",3 "repository": "github.com/lagnadolab/cortexmodel-learning",4 "url": "https://github.com/lagnadoLab/CortexModel-Learning",5 "host": "github.com",6 "commit": "5d14a6b64a45586ce2fcdc96376f4d4dfea102eb",7 "license": "Apache-2.0",8 "license_confirmed_by": "license file LICENSE",9 "redistribution": "yes",10 "files": [11 {12 "path": ".ipynb_checkpoints/Model_V1_Hab_Sess1-checkpoint.ipynb",13 "sha256": "a608b6cddd2317d4e5da4fc9823354abf05c4dbcf4863569f024cba7a7ab3a8d",14 "language": "Jupyter",15 "lines": 642,16 "truncated": false,17 "block": 11,18 "row": 1362819 },20 {21 "path": ".ipynb_checkpoints/Model_V1_Hab_Sess6-checkpoint.ipynb",22 "sha256": "956810044bf0815429c46acd53d6f2aabcf189e8b934ad8d44348125ec5efcbb",23 "language": "Jupyter",24 "lines": 642,25 "truncated": false,26 "block": 11,27 "row": 1362928 },29 {30 "path": ".ipynb_checkpoints/Model_V1_Rew_Sess1-checkpoint.ipynb",31 "sha256": "ca4b0d72a565192098e65feb2c46262515c1b9cfbd5588c7de457e8e99ea102f",32 "language": "Jupyter",33 "lines": 631,34 "truncated": false,35 "block": 11,36 "row": 1362637 },38 {39 "path": ".ipynb_checkpoints/Model_V1_Rew_Sess6-checkpoint.ipynb",40 "sha256": "d50522a916a0d29eedcfa5244d0105e0f78fdf505d163cb92e01097d96655103",41 "language": "Jupyter",42 "lines": 631,43 "truncated": false,44 "block": 11,45 "row": 1362546 },47 {48 "path": "Fitting/Habituation_Sess1/ExtractWeightsAvg.py",49 "sha256": "460ef351489ec731128a4f13f5d11204dd8cdbc6079f058fe36b760a52131e74",50 "language": "Python",51 "lines": 127,52 "truncated": false,53 "block": 12,54 "row": 1144655 },56 {57 "path": "Fitting/Habituation_Sess1/Sobol_test_global.py",58 "sha256": "a6f9d33ba5d3ba598d9080b0a507fc60710731ea352ea2181a643d8fbd434f01",59 "language": "Python",60 "lines": 41,61 "truncated": false,62 "block": 12,63 "row": 671064 },65 {66 "path": "Fitting/Habituation_Sess1/Sobol_test_local.py",67 "sha256": "b790263ca646d18d375dedcbc4722fea2806b737f9a8000282884d9d4fee8eb5",68 "language": "Python",69 "lines": 45,70 "truncated": false,71 "block": 12,72 "row": 706973 },74 {75 "path": "Fitting/Habituation_Sess1/batch_submitter.sh",76 "sha256": "a0feec4b6bc63e817a91a59d7a119ccb045c4f930c3a26356a6b1d7f9ad76034",77 "language": "Shell",78 "lines": 77,79 "truncated": false,80 "block": 13,81 "row": 540782 },83 {84 "path": "Fitting/Habituation_Sess1/combine_results.py",85 "sha256": "a9a7f34ec00feb8cf22f0e501799863e41c533c60c2374c799bf15f5cced9939",86 "language": "Python",87 "lines": 37,88 "truncated": false,89 "block": 12,90 "row": 548691 },92 {93 "path": "Fitting/Habituation_Sess1/model_functions_loco_Hab1.py",94 "sha256": "bc354d06222320ffffb156b50faeed571175901a5acac0641449a020dfaa578d",95 "language": "Python",96 "lines": 491,97 "truncated": false,98 "block": 12,99 "row": 20571100 },101 {102 "path": "Fitting/Habituation_Sess1/model_run_loco_Hab1.py",103 "sha256": "9a5ef7006e3455ef0e3186aa121684d89a680782d5b3551a4907a3f5711644ef",104 "language": "Python",105 "lines": 322,106 "truncated": false,107 "block": 12,108 "row": 18736109 },110 {111 "path": "Fitting/Habituation_Sess1/submit_ID_sweep.sh",112 "sha256": "11535ca90eabfced19e68634ec6df45921fc00592fe4f394f80c89d3aec7d211",113 "language": "Shell",114 "lines": 21,115 "truncated": false,116 "block": 13,117 "row": 4626118 },119 {120 "path": "Fitting/Habituation_Sess6/ExtractWeightsAvg.py",121 "sha256": "54300eb2441687dc45d159fe159748345fa82ac9d55535b1baac42a8c01e2570",122 "language": "Python",123 "lines": 126,124 "truncated": false,125 "block": 12,126 "row": 11442127 },128 {129 "path": "Fitting/Habituation_Sess6/Sobol_test_global.py",130 "sha256": "8359368b16e723e2b507fe3ff04ed27b814150d86d05dbc939df8297bc4eea59",131 "language": "Python",132 "lines": 41,133 "truncated": false,134 "block": 12,135 "row": 6708136 },137 {138 "path": "Fitting/Habituation_Sess6/Sobol_test_local.py",139 "sha256": "491be204cbee49ab8d7cf5c08c41eda887e1836eeb9dfb1407dad1908f9a95d9",140 "language": "Python",141 "lines": 46,142 "truncated": false,143 "block": 12,144 "row": 7217145 },146 {147 "path": "Fitting/Habituation_Sess6/batch_submitter.sh",148 "sha256": "f6fd906bc16dfbbc086e6bde4d5e8ff90f68ccc2c88e91e2bed5db59b866426b",149 "language": "Shell",150 "lines": 77,151 "truncated": false,152 "block": 13,153 "row": 5410154 },155 {156 "path": "Fitting/Habituation_Sess6/combine_results.py",157 "sha256": "32e9bb02602ef503f0c494dc5de083a313ade85e78739bf86c8aaa7eef8998bb",158 "language": "Python",159 "lines": 37,160 "truncated": false,161 "block": 12,162 "row": 5493163 },164 {165 "path": "Fitting/Habituation_Sess6/model_functions_loco_Hab6.py",166 "sha256": "bbca3ddbfec8d7953c6b329878eabc76e0a523507259da518a20ba6f348e71a7",167 "language": "Python",168 "lines": 485,169 "truncated": false,170 "block": 12,171 "row": 20557172 },173 {174 "path": "Fitting/Habituation_Sess6/model_run_loco_Hab6.py",175 "sha256": "9fe01023926bfcf298af52c5dd78001d9a9a782e868f1bad8c161c1d728564de",176 "language": "Python",177 "lines": 322,178 "truncated": false,179 "block": 12,180 "row": 18765181 },182 {183 "path": "Fitting/Habituation_Sess6/submit_ID_sweep.sh",184 "sha256": "5c0fa8a96f84c346ad6abb3d27eea0f300fa746525bf07fb273de30a7fd240c2",185 "language": "Shell",186 "lines": 21,187 "truncated": false,188 "block": 13,189 "row": 4629190 },191 {192 "path": "Fitting/Reward_Sess1/ExtractWeightsAvg.py",193 "sha256": "2701d76daf730b4ff0579ad2d9c91676998e0c575bac1db1211c98daff69b90e",194 "language": "Python",195 "lines": 126,196 "truncated": false,197 "block": 12,198 "row": 11441199 },200 {201 "path": "Fitting/Reward_Sess1/Sobol_test_global.py",202 "sha256": "a2c8658c2ac72d0660eb71755f1829ac0b6b26de445adb760181e89240258f04",203 "language": "Python",204 "lines": 41,205 "truncated": false,206 "block": 12,207 "row": 6709208 },209 {210 "path": "Fitting/Reward_Sess1/Sobol_test_local.py",211 "sha256": "7626c28fe6a6ebbecf7cc0912a3d73c09393c75dcd58a26b70974d7bf88ad3ee",212 "language": "Python",213 "lines": 46,214 "truncated": false,215 "block": 12,216 "row": 7218217 },218 {219 "path": "Fitting/Reward_Sess1/batch_submitter.sh",220 "sha256": "c2bb8700c62f43e1c49f13f8edb5a3b8db6856dcac520b39cb92acce7f6159b9",221 "language": "Shell",222 "lines": 77,223 "truncated": false,224 "block": 13,225 "row": 5408226 },227 {228 "path": "Fitting/Reward_Sess1/combine_results.py",229 "sha256": "b62429fbaf2800cef198f270808349c00550d79a128a8cc5c294cd03bc46c92d",230 "language": "Python",231 "lines": 37,232 "truncated": false,233 "block": 12,234 "row": 5490235 },236 {237 "path": "Fitting/Reward_Sess1/model_functions_loco_Rew1.py",238 "sha256": "b1a0e315247ac819603e7fa024302415670c46ddcffb3920d6d88b5c3e48aace",239 "language": "Python",240 "lines": 486,241 "truncated": false,242 "block": 12,243 "row": 20562244 },245 {246 "path": "Fitting/Reward_Sess1/model_run_loco_Rew1.py",247 "sha256": "89f98458e4a5c1f6c81b26ed3678ce60a7b56df4736f669ae118c333506a3ad1",248 "language": "Python",249 "lines": 292,250 "truncated": false,251 "block": 12,252 "row": 18588253 },254 {255 "path": "Fitting/Reward_Sess1/submit_ID_sweep.sh",256 "sha256": "4f1fefa94f42dc1ce66d29d0a41362d62edfa1d346bd2abab65f34f544c5bbcd",257 "language": "Shell",258 "lines": 21,259 "truncated": false,260 "block": 13,261 "row": 4628262 },263 {264 "path": "Fitting/Reward_Sess6/ExtractWeightsAvg.py",265 "sha256": "584d10236dd200803fdbe71aeff7cc8eabd29436ee168c83c1fb0386ed02910f",266 "language": "Python",267 "lines": 126,268 "truncated": false,269 "block": 12,270 "row": 11443271 },272 {273 "path": "Fitting/Reward_Sess6/Sobol_test_global.py",274 "sha256": "caa09b8e5a2d9a5b6c39e600efbe9904f008ad957663da86c8da2de5d842ed6f",275 "language": "Python",276 "lines": 41,277 "truncated": false,278 "block": 12,279 "row": 6711280 },281 {282 "path": "Fitting/Reward_Sess6/Sobol_test_local.py",283 "sha256": "ccf2d67ded49b688b6c288a9aae102d8e296ba221f55cc77f71a11a94a735041",284 "language": "Python",285 "lines": 46,286 "truncated": false,287 "block": 12,288 "row": 7219289 },290 {291 "path": "Fitting/Reward_Sess6/batch_submitter.sh",292 "sha256": "f0972577269cae927f3b2e58cc9fdc14a0335002b7b5fa168b59059919fb3b74",293 "language": "Shell",294 "lines": 77,295 "truncated": false,296 "block": 13,297 "row": 5409298 },299 {300 "path": "Fitting/Reward_Sess6/combine_results.py",301 "sha256": "2d5572af4297391c70e5cd48c1252ba6a6b52fb77dde504e941542a7b123bc08",302 "language": "Python",303 "lines": 37,304 "truncated": false,305 "block": 12,306 "row": 5487307 },308 {309 "path": "Fitting/Reward_Sess6/model_functions_loco_Rew6.py",310 "sha256": "38549a452d0300923cb758e2499fafa84662a7d45588dda7b616f7b682f4856b",311 "language": "Python",312 "lines": 486,313 "truncated": false,314 "block": 12,315 "row": 20558316 },317 {318 "path": "Fitting/Reward_Sess6/model_run_loco_Rew6.py",319 "sha256": "354a59678a9cfe82d99b6309b96fc5b044cb0c455d09db5f990f25289de2ab04",320 "language": "Python",321 "lines": 322,322 "truncated": false,323 "block": 12,324 "row": 18876325 },326 {327 "path": "Fitting/Reward_Sess6/submit_ID_sweep.sh",328 "sha256": "2f00d5348b56d5bd1c0b66c4ead30ebaec7e25afd9355cd851f672dea2d9d878",329 "language": "Shell",330 "lines": 21,331 "truncated": false,332 "block": 13,333 "row": 4627334 },335 {336 "path": "LICENSE",337 "sha256": "691cb5961a7435ea6f5d9bbe5d2cb7ccfb7e5d9e78db8d19aa3126b28e35bb7c",338 "language": "License",339 "lines": 201,340 "truncated": false,341 "block": 11,342 "row": 14398343 },344 {345 "path": "Model_V1_Hab_Sess1.ipynb",346 "sha256": "a608b6cddd2317d4e5da4fc9823354abf05c4dbcf4863569f024cba7a7ab3a8d",347 "language": "Jupyter",348 "lines": 642,349 "truncated": false,350 "block": 11,351 "row": 13628352 },353 {354 "path": "Model_V1_Hab_Sess6.ipynb",355 "sha256": "956810044bf0815429c46acd53d6f2aabcf189e8b934ad8d44348125ec5efcbb",356 "language": "Jupyter",357 "lines": 642,358 "truncated": false,359 "block": 11,360 "row": 13629361 },362 {363 "path": "Model_V1_Rew_Sess1.ipynb",364 "sha256": "ca4b0d72a565192098e65feb2c46262515c1b9cfbd5588c7de457e8e99ea102f",365 "language": "Jupyter",366 "lines": 631,367 "truncated": false,368 "block": 11,369 "row": 13626370 },371 {372 "path": "Model_V1_Rew_Sess6.ipynb",373 "sha256": "d50522a916a0d29eedcfa5244d0105e0f78fdf505d163cb92e01097d96655103",374 "language": "Jupyter",375 "lines": 631,376 "truncated": false,377 "block": 11,378 "row": 13625379 },380 {381 "path": "README.md",382 "sha256": "a309cc19711707facce3533e288e9286fbbd1654c2b7119c9656b5e7a9b9bc8b",383 "language": "Text",384 "lines": 83,385 "truncated": false,386 "block": 13,387 "row": 6720388 }389 ]390}