| { |
| "format": "oscr-script-manifest/1", |
| "repository": "github.com/iinnpp/isttc", |
| "url": "https://github.com/iinnpp/isttc", |
| "host": "github.com", |
| "commit": "9e016ee26531cefe1586437dcd9a60682ac92a9d", |
| "license": "GPL-3.0", |
| "license_confirmed_by": "license file LICENSE", |
| "redistribution": "yes", |
| "files": [ |
| { |
| "path": "LICENSE", |
| "sha256": "3972dc9744f6499f0f9b2dbf76696f2ae7ad8af9b23dde66d6af86c9dfb36986", |
| "language": "License", |
| "lines": 674, |
| "truncated": false, |
| "block": 1, |
| "row": 2235 |
| }, |
| { |
| "path": "README.md", |
| "sha256": "ebbcd6a1d6e5ad9f54e13c79822631b18a03e70e0c6f0002aa58ca0fe3dda79e", |
| "language": "Text", |
| "lines": 95, |
| "truncated": false, |
| "block": 10, |
| "row": 19902 |
| }, |
| { |
| "path": "benchmarks/benchmark_acf_sttc_fast.py", |
| "sha256": "92d227b89ca773ae41e56a2d303b0d95430ff3f2c23eddfaa576c2f5ea434000", |
| "language": "Python", |
| "lines": 147, |
| "truncated": false, |
| "block": 10, |
| "row": 13490 |
| }, |
| { |
| "path": "examples/estimate_tau.ipynb", |
| "sha256": "3eb3c653e44c5f7aa35763174ece95efb90b71b40c04907ce23818840c7b77a6", |
| "language": "Jupyter", |
| "lines": 221, |
| "truncated": false, |
| "block": 10, |
| "row": 5454 |
| }, |
| { |
| "path": "examples/generate_syn_data.ipynb", |
| "sha256": "b2a5bc6e7600fa682eac5747222c614d2717b0ec6f7b1e7dc719c70dde0117be", |
| "language": "Jupyter", |
| "lines": 94, |
| "truncated": false, |
| "block": 10, |
| "row": 5030 |
| }, |
| { |
| "path": "notebooks/abctau_tests/Tutorial1_fittingAutocorrelations-Copy1.ipynb", |
| "sha256": "f29b53f2f48cab6059eaec298dc374556f0cd2b0b8b59ab5ae474ce9cb8503fa", |
| "language": "Jupyter", |
| "lines": 224, |
| "truncated": false, |
| "block": 10, |
| "row": 5554 |
| }, |
| { |
| "path": "notebooks/abctau_tests/Tutorial1_fittingAutocorrelations.ipynb", |
| "sha256": "efd08b2f8f55b2c3cfa4d900b7315c7a7cdccbcf03ecb7e434dba05e99db8ca6", |
| "language": "Jupyter", |
| "lines": 645, |
| "truncated": false, |
| "block": 10, |
| "row": 5860 |
| }, |
| { |
| "path": "notebooks/abctau_tests/syn_dataset.ipynb", |
| "sha256": "b2859b11232b8674329fb77fe16f7296b92393907910ca789fb8faf2585c833d", |
| "language": "Jupyter", |
| "lines": 237, |
| "truncated": false, |
| "block": 10, |
| "row": 5531 |
| }, |
| { |
| "path": "notebooks/abctau_tests/syn_dataset_trials.ipynb", |
| "sha256": "2e2b4c14ce297b991a3eda7f705dad52bf592db8957349f8c5c17b2259159e27", |
| "language": "Jupyter", |
| "lines": 170, |
| "truncated": false, |
| "block": 10, |
| "row": 5441 |
| }, |
| { |
| "path": "notebooks/abctau_tests/syn_dataset_trials_summ_stat.ipynb", |
| "sha256": "b1320dddfc9b728a12cdfe8149582ce0dc4362151b105c4b3eb90ec345ca4a15", |
| "language": "Jupyter", |
| "lines": 251, |
| "truncated": false, |
| "block": 10, |
| "row": 5535 |
| }, |
| { |
| "path": "notebooks/abctau_tests/syn_dataset_trials_summary_df.ipynb", |
| "sha256": "45cfa96bfbbdb03cedbe1db6c8d5218e93eac3403a938a4e969e8b35cd9cdb84", |
| "language": "Jupyter", |
| "lines": 120, |
| "truncated": false, |
| "block": 10, |
| "row": 5124 |
| }, |
| { |
| "path": "notebooks/abctau_tests/syn_dataset_trials_visualize_results.ipynb", |
| "sha256": "5b49ab89b73417cff81f7b429d33a7d881a2e625cf9e8009c224bbe34aa0a75f", |
| "language": "Jupyter", |
| "lines": 162, |
| "truncated": false, |
| "block": 10, |
| "row": 5216 |
| }, |
| { |
| "path": "notebooks/abctau_tests/syn_dataset_trials_with_isttc.ipynb", |
| "sha256": "95c4f76cbe708ebd126100cd5fc889db10e05cdd430c0ef43f42d197bee25770", |
| "language": "Jupyter", |
| "lines": 315, |
| "truncated": false, |
| "block": 10, |
| "row": 5625 |
| }, |
| { |
| "path": "notebooks/abctau_tests/tutorial1.ipynb", |
| "sha256": "981dcfb2bebc261079b29e489b9a12c4f81fbaf86f617c4742e0df4b99dd3e12", |
| "language": "Jupyter", |
| "lines": 72, |
| "truncated": false, |
| "block": 10, |
| "row": 5011 |
| }, |
| { |
| "path": "notebooks/abctau_tests/tutorial1_estimating_taus.ipynb", |
| "sha256": "c13f2772fac0070a7ae4541b4a848a4c1154c730972fcb4d0eb53924119c15dd", |
| "language": "Jupyter", |
| "lines": 116, |
| "truncated": false, |
| "block": 10, |
| "row": 5191 |
| }, |
| { |
| "path": "notebooks/abctau_tests/tutorial2_visualize_results.ipynb", |
| "sha256": "fb0a05f9f6adff9b532ff4baffe9e27963b868a9ad5a4ed8a9775673d76b4285", |
| "language": "Jupyter", |
| "lines": 81, |
| "truncated": false, |
| "block": 10, |
| "row": 4981 |
| }, |
| { |
| "path": "notebooks/methods_example.ipynb", |
| "sha256": "ae940b0610507eec13470c13ba891d9331c75da7fad1be04f0829108474de67a", |
| "language": "Jupyter", |
| "lines": 152, |
| "truncated": false, |
| "block": 10, |
| "row": 5147 |
| }, |
| { |
| "path": "notebooks/mice/calculate_and_plot_acf.ipynb", |
| "sha256": "d78e92a936775b64aba4b09a2a1d81304313d43a7187ade7b1e1480992cd8cdd", |
| "language": "Jupyter", |
| "lines": 169, |
| "truncated": false, |
| "block": 10, |
| "row": 5387 |
| }, |
| { |
| "path": "notebooks/mice/calculate_and_plot_tau_per_area.ipynb", |
| "sha256": "fa98b1f3dfa359075d1e395bfb6bafc8870622c006b9868235091f6159b992fd", |
| "language": "Jupyter", |
| "lines": 892, |
| "truncated": false, |
| "block": 10, |
| "row": 5916 |
| }, |
| { |
| "path": "notebooks/mice/calculate_and_plot_tau_per_area_n_trials.ipynb", |
| "sha256": "c265224395ff8916720c36108018f5dba1de706b12aa71c52437b92f9357b822", |
| "language": "Jupyter", |
| "lines": 326, |
| "truncated": false, |
| "block": 10, |
| "row": 5704 |
| }, |
| { |
| "path": "notebooks/mice/calculate_and_plot_tau_per_area_signal_len.ipynb", |
| "sha256": "8de42cfe1202679a96074502b4babef1f21f3148930511af9ec051105650a1d0", |
| "language": "Jupyter", |
| "lines": 183, |
| "truncated": false, |
| "block": 10, |
| "row": 5506 |
| }, |
| { |
| "path": "notebooks/mice/calculate_and_plot_tau_per_unit_4methods.ipynb", |
| "sha256": "1cbc87a65bf0b702e36ad498d4e041e7bc4de64b834238e870b539054976ce99", |
| "language": "Jupyter", |
| "lines": 752, |
| "truncated": false, |
| "block": 10, |
| "row": 5883 |
| }, |
| { |
| "path": "notebooks/mice/calculate_and_plot_tau_per_unit_n_trials.ipynb", |
| "sha256": "1720343ba4fb156d5237004d63412b8960a20063c2fbcff78b25e6479ea4051f", |
| "language": "Jupyter", |
| "lines": 461, |
| "truncated": false, |
| "block": 10, |
| "row": 5775 |
| }, |
| { |
| "path": "notebooks/mice/calculate_and_plot_tau_per_unit_signal_len.ipynb", |
| "sha256": "b26e7d87bfdcbd57f61b5bd5b41e5c44fb84ebd04900e59d20746f9b31917110", |
| "language": "Jupyter", |
| "lines": 405, |
| "truncated": false, |
| "block": 10, |
| "row": 5749 |
| }, |
| { |
| "path": "notebooks/mice/calculate_lv.ipynb", |
| "sha256": "f629ee21a2dec1d4b43ff909f647799654319bd7d3c19b2559f1ab06a16cf809", |
| "language": "Jupyter", |
| "lines": 110, |
| "truncated": false, |
| "block": 10, |
| "row": 5057 |
| }, |
| { |
| "path": "notebooks/mice/generate_trials_dataset.ipynb", |
| "sha256": "78d9a5d7ad027069b1711fb6c623f9dcb8b6e96490f1273ba508accbbeeb25a4", |
| "language": "Jupyter", |
| "lines": 71, |
| "truncated": false, |
| "block": 10, |
| "row": 4961 |
| }, |
| { |
| "path": "notebooks/mice/load_dataset.ipynb", |
| "sha256": "7ac57a2c874b3d23c863567f782322a404e92578b2422727ce8e4fc50d599c4c", |
| "language": "Jupyter", |
| "lines": 157, |
| "truncated": false, |
| "block": 10, |
| "row": 5347 |
| }, |
| { |
| "path": "notebooks/mice/plot_dataset_info.ipynb", |
| "sha256": "15f24bdeffa7c4bbec1b93a08ff998674e0e6301aa042c7f79f65feb76cf6a04", |
| "language": "Jupyter", |
| "lines": 171, |
| "truncated": false, |
| "block": 10, |
| "row": 5356 |
| }, |
| { |
| "path": "notebooks/mice/plot_tau_per_area_spread.ipynb", |
| "sha256": "5f56dc8786d389f58f77efd8a0e5c35bbf2af3afadd61682ea45a7342a1f24fd", |
| "language": "Jupyter", |
| "lines": 217, |
| "truncated": false, |
| "block": 10, |
| "row": 5534 |
| }, |
| { |
| "path": "notebooks/mice/plot_taus_inclusion.ipynb", |
| "sha256": "c5e402751c7c570fdda483bdf9dd41588b394e37caeea06293ad0a84663bdd2a", |
| "language": "Jupyter", |
| "lines": 927, |
| "truncated": false, |
| "block": 10, |
| "row": 5893 |
| }, |
| { |
| "path": "notebooks/mice/plot_taus_parametric_inclusion_n_trials-Copy1.ipynb", |
| "sha256": "33f2690af6fca57b275dd215c1c83af828b256afc9537408724004978ffe3d61", |
| "language": "Jupyter", |
| "lines": 250, |
| "truncated": false, |
| "block": 10, |
| "row": 5456 |
| }, |
| { |
| "path": "notebooks/mice/plot_taus_parametric_inclusion_var_duration-Copy1.ipynb", |
| "sha256": "90bb780036b77b91b9499e4cca8664e8386ddb5ba99e174f4147590a2f992586", |
| "language": "Jupyter", |
| "lines": 246, |
| "truncated": false, |
| "block": 10, |
| "row": 5451 |
| }, |
| { |
| "path": "notebooks/mice/resampling_params_estimate.ipynb", |
| "sha256": "eee14ba3864ddb208fb37ae48f88f5597207e0ce98c45a4fc244a9fe130fac17", |
| "language": "Jupyter", |
| "lines": 666, |
| "truncated": false, |
| "block": 10, |
| "row": 5873 |
| }, |
| { |
| "path": "notebooks/mice/test_bugs.ipynb", |
| "sha256": "798f4159de3d806aab4396000fa93f58742e8f00395943b8c95a67d2b5d25683", |
| "language": "Jupyter", |
| "lines": 149, |
| "truncated": false, |
| "block": 10, |
| "row": 5321 |
| }, |
| { |
| "path": "notebooks/monkey/calculate_acf.ipynb", |
| "sha256": "d9d8459b5f1aa9c663bc2b07c69c10641ba339076e69123e9fdb7b899472eccd", |
| "language": "Jupyter", |
| "lines": 300, |
| "truncated": false, |
| "block": 10, |
| "row": 5669 |
| }, |
| { |
| "path": "notebooks/monkey/calculate_tau.ipynb", |
| "sha256": "c09fe411420e35a404e98b172279ee7dcd8a83a002164134f75aaf155d5d3d68", |
| "language": "Jupyter", |
| "lines": 222, |
| "truncated": false, |
| "block": 10, |
| "row": 5634 |
| }, |
| { |
| "path": "notebooks/monkey/paper_fig2.ipynb", |
| "sha256": "63dc1bfd29773a8ccd4eeb87c92705e8737b3495a27935480ca171cfd9649568", |
| "language": "Jupyter", |
| "lines": 92, |
| "truncated": false, |
| "block": 10, |
| "row": 5075 |
| }, |
| { |
| "path": "notebooks/monkey/paper_plots/paper_calculate_dataset_constraints.ipynb", |
| "sha256": "c5eb22e979807330a679fb3a42adf4f3f758af2d9ce8842dbc276387003a15c2", |
| "language": "Jupyter", |
| "lines": 208, |
| "truncated": false, |
| "block": 10, |
| "row": 5559 |
| }, |
| { |
| "path": "notebooks/monkey/paper_plots/paper_compare_unit_fits.ipynb", |
| "sha256": "721598830be85374db7c13862454880f8747d1348228fa8e450b78376719336a", |
| "language": "Jupyter", |
| "lines": 434, |
| "truncated": false, |
| "block": 10, |
| "row": 5795 |
| }, |
| { |
| "path": "notebooks/monkey/paper_plots/paper_plot_dataset_info.ipynb", |
| "sha256": "340cde29822e65a38dcc08ec5a70b2ee869b1752eeb81b6b11ca0f065c34661d", |
| "language": "Jupyter", |
| "lines": 291, |
| "truncated": false, |
| "block": 10, |
| "row": 5629 |
| }, |
| { |
| "path": "notebooks/monkey/paper_plots/paper_population_tau.ipynb", |
| "sha256": "79e2f220edb1a53da2a738dd71d5fb347f6c652d4b85d2ce90e72e246c9c80eb", |
| "language": "Jupyter", |
| "lines": 798, |
| "truncated": false, |
| "block": 10, |
| "row": 5923 |
| }, |
| { |
| "path": "notebooks/monkey/paper_plots/plot_acf.ipynb", |
| "sha256": "56106fd98e6eafd69ada3dcc67fc43d450a095e5119f460a48763c53790def1d", |
| "language": "Jupyter", |
| "lines": 164, |
| "truncated": false, |
| "block": 10, |
| "row": 5415 |
| }, |
| { |
| "path": "notebooks/monkey/paper_plots/plot_datasets_excluded_units_5papers.ipynb", |
| "sha256": "aa75bb1db58babb0485e0f66548cc24ae91d63ba367a3f211a129e4889811738", |
| "language": "Jupyter", |
| "lines": 61, |
| "truncated": false, |
| "block": 10, |
| "row": 4967 |
| }, |
| { |
| "path": "notebooks/monkey/plot_dataset_info_and_sua_raster.ipynb", |
| "sha256": "e24c99972e192155470c2928c5f7303b89096074d6d777d39ff52a25bef74cf7", |
| "language": "Jupyter", |
| "lines": 475, |
| "truncated": false, |
| "block": 10, |
| "row": 5804 |
| }, |
| { |
| "path": "notebooks/monkey/todo_calculate_acf_parametric.ipynb", |
| "sha256": "d21922db48bd374669d4a7f4d898e2c23e35d953242c09ac371e4bc323f9c794", |
| "language": "Jupyter", |
| "lines": 159, |
| "truncated": false, |
| "block": 10, |
| "row": 5340 |
| }, |
| { |
| "path": "notebooks/monkey/todo_paper_fig2_extended_subsampling.ipynb", |
| "sha256": "4f6eb86d913799e6f0e6add28a9dc89d09f40b8d116228238fe63270e30229ad", |
| "language": "Jupyter", |
| "lines": 215, |
| "truncated": false, |
| "block": 10, |
| "row": 5522 |
| }, |
| { |
| "path": "notebooks/synthetic/calculate_lv.ipynb", |
| "sha256": "ea96cbf687ed8562bddf27a4b421e0c1548dd0b56340838998992663327bc58a", |
| "language": "Jupyter", |
| "lines": 163, |
| "truncated": false, |
| "block": 10, |
| "row": 5236 |
| }, |
| { |
| "path": "notebooks/synthetic/compute_time_full_signal.ipynb", |
| "sha256": "a2511126528ab89d925e72f751a7a13319896132ac1043388ba23b4cde46a261", |
| "language": "Jupyter", |
| "lines": 239, |
| "truncated": false, |
| "block": 10, |
| "row": 5604 |
| }, |
| { |
| "path": "notebooks/synthetic/compute_time_trials.ipynb", |
| "sha256": "2c3e96b64f943d2c02ac82d93c833c04f97ed47966712388664173d3e464a3d9", |
| "language": "Jupyter", |
| "lines": 408, |
| "truncated": false, |
| "block": 10, |
| "row": 5766 |
| }, |
| { |
| "path": "notebooks/synthetic/data_gen_examples.ipynb", |
| "sha256": "84904ffb4d1cc050ef5cf87366e1197f115a6137806e7ce056b8012e6f559054", |
| "language": "Jupyter", |
| "lines": 380, |
| "truncated": false, |
| "block": 10, |
| "row": 5659 |
| }, |
| { |
| "path": "notebooks/synthetic/generate_spike_trains.ipynb", |
| "sha256": "eac79fc9c4a831e352ef581bfe702e6e9a5cc9abb135848abcf99a181574df05", |
| "language": "Jupyter", |
| "lines": 275, |
| "truncated": false, |
| "block": 10, |
| "row": 5478 |
| }, |
| { |
| "path": "notebooks/synthetic/generate_summary_datasets.ipynb", |
| "sha256": "4f055f54449724638debbe35c6124569d5cf580fffe2ee3f38cd7e3467601711", |
| "language": "Jupyter", |
| "lines": 815, |
| "truncated": false, |
| "block": 10, |
| "row": 5888 |
| }, |
| { |
| "path": "notebooks/synthetic/generate_trials_dataset.ipynb", |
| "sha256": "2e30bc66c094612d632b48dcc654c88356791fc9a82155b0b8d747da84953bd3", |
| "language": "Jupyter", |
| "lines": 406, |
| "truncated": false, |
| "block": 10, |
| "row": 5696 |
| }, |
| { |
| "path": "notebooks/synthetic/plot_acf_full.ipynb", |
| "sha256": "bce2fbfe2dbe2ec407b9929714bcc51d40044b354f49d605c4baa20846a3739b", |
| "language": "Jupyter", |
| "lines": 310, |
| "truncated": false, |
| "block": 10, |
| "row": 5688 |
| }, |
| { |
| "path": "notebooks/synthetic/plot_acf_full_inclusion.ipynb", |
| "sha256": "b5600c07963ae381e1576a0dc97241ba99b9b6ddbe3c6e87e6362d290bc069da", |
| "language": "Jupyter", |
| "lines": 232, |
| "truncated": false, |
| "block": 10, |
| "row": 5605 |
| }, |
| { |
| "path": "notebooks/synthetic/plot_acf_trials.ipynb", |
| "sha256": "32122337ab618069f5883cfa7d71a24106caf413bce8e5b314ae8b2b23be629f", |
| "language": "Jupyter", |
| "lines": 240, |
| "truncated": false, |
| "block": 10, |
| "row": 5587 |
| }, |
| { |
| "path": "notebooks/synthetic/plot_taus.ipynb", |
| "sha256": "4cc45b930a8e21a420d876c50937824a5a25b8fecbcd52ed27211ff9bf959e5c", |
| "language": "Jupyter", |
| "lines": 689, |
| "truncated": false, |
| "block": 10, |
| "row": 5824 |
| }, |
| { |
| "path": "notebooks/synthetic/plot_taus_n_lags.ipynb", |
| "sha256": "732332d937883db3d908a3e58da7289779b8c87768db47c8249fe76a7f8269ca", |
| "language": "Jupyter", |
| "lines": 259, |
| "truncated": false, |
| "block": 10, |
| "row": 5530 |
| }, |
| { |
| "path": "notebooks/synthetic/plot_taus_unit_inclusion.ipynb", |
| "sha256": "6e2fea523b40e11b9ba245fe3ebadb3ee7753f7dda9aaada51cac8baa358979e", |
| "language": "Jupyter", |
| "lines": 840, |
| "truncated": false, |
| "block": 10, |
| "row": 5877 |
| }, |
| { |
| "path": "notebooks/synthetic/plot_taus_unit_inclusion_n_trials.ipynb", |
| "sha256": "46b54e558455c103dc79e53e9a4382190d3847cd5763d4789187a84f81775735", |
| "language": "Jupyter", |
| "lines": 249, |
| "truncated": false, |
| "block": 10, |
| "row": 5452 |
| }, |
| { |
| "path": "notebooks/synthetic/plot_taus_unit_inclusion_var_duration.ipynb", |
| "sha256": "e118f4a5ca985c45c3996e7012d2ff7e28d1fc73dc0c52d9318d9b6a63925e33", |
| "language": "Jupyter", |
| "lines": 245, |
| "truncated": false, |
| "block": 10, |
| "row": 5442 |
| }, |
| { |
| "path": "notebooks/synthetic/plot_taus_with_abctau.ipynb", |
| "sha256": "fcc81544c94d0c8b63f95daa60aaa77e0212550a45eb3127c75ac666a5755d75", |
| "language": "Jupyter", |
| "lines": 708, |
| "truncated": false, |
| "block": 10, |
| "row": 5847 |
| }, |
| { |
| "path": "notebooks/synthetic/resampling_params_estimate.ipynb", |
| "sha256": "d40f645b2b5a9ff00c57c4e70fbb3d6bd65ac34e5a934f9d8fd3f366302a6ab8", |
| "language": "Jupyter", |
| "lines": 530, |
| "truncated": false, |
| "block": 10, |
| "row": 5820 |
| }, |
| { |
| "path": "notebooks/synthetic/sttc_concat_zeros.ipynb", |
| "sha256": "f55a49d98bd05bb2b855794cff1e992d99253ddf21690a150622e8d525071a4c", |
| "language": "Jupyter", |
| "lines": 153, |
| "truncated": false, |
| "block": 10, |
| "row": 5311 |
| }, |
| { |
| "path": "r_scripts/mice_taus_single_units.R", |
| "sha256": "f141b8408d60043b987ba6316f2d2d97a0f19f8f4a0e7cbae3c7b7c1ae8923ce", |
| "language": "R", |
| "lines": 31, |
| "truncated": false, |
| "block": 10, |
| "row": 17920 |
| }, |
| { |
| "path": "r_scripts/mice_taus_single_units_dabestr_tests.R", |
| "sha256": "8013c00c8eeb491d84100c6514ddeb3f5027cf3b229360a235b1c6a620e4a176", |
| "language": "R", |
| "lines": 32, |
| "truncated": false, |
| "block": 10, |
| "row": 17932 |
| }, |
| { |
| "path": "r_scripts/mice_taus_unit_duration_effect.R", |
| "sha256": "9debb0e047ad6c784ebb24fe17d46917da999c690c4d51e14e0f9d3877a13d2c", |
| "language": "R", |
| "lines": 152, |
| "truncated": false, |
| "block": 10, |
| "row": 18334 |
| }, |
| { |
| "path": "r_scripts/mice_taus_unit_n_trials_effect.R", |
| "sha256": "00e0d29a8e75a4005b646a598741a99822bd06775a8c1bd696f3817fa34cf828", |
| "language": "R", |
| "lines": 151, |
| "truncated": false, |
| "block": 10, |
| "row": 18347 |
| }, |
| { |
| "path": "r_scripts/mice_taus_units_4methods.R", |
| "sha256": "ed601b5bc556ee44f70cc863283b4976f73e932f355b563a4eee2180aae567b0", |
| "language": "R", |
| "lines": 98, |
| "truncated": false, |
| "block": 10, |
| "row": 18268 |
| }, |
| { |
| "path": "r_scripts/mice_trial_methods_fr_lv.R", |
| "sha256": "62155b0d464d5d61e26ebacfe9d24742494bd010604cd5169cc6d042135e57b9", |
| "language": "R", |
| "lines": 203, |
| "truncated": false, |
| "block": 10, |
| "row": 18491 |
| }, |
| { |
| "path": "r_scripts/monkey_taus_single_unit.R", |
| "sha256": "725f6b3c80755682aa3f61464cbc7302d141381b9a0288ba13196ea5ab3d5fc4", |
| "language": "R", |
| "lines": 80, |
| "truncated": false, |
| "block": 10, |
| "row": 18036 |
| }, |
| { |
| "path": "r_scripts/syn_5methods_fixed_param.R", |
| "sha256": "1c1aced44acbec10be186cfcc1e89cfab0d9c88313496974a1796a4bc48b3845", |
| "language": "R", |
| "lines": 45, |
| "truncated": false, |
| "block": 10, |
| "row": 17919 |
| }, |
| { |
| "path": "r_scripts/syn_bin_size_effect.R", |
| "sha256": "69a556fc088e519f7bfaebb2e93aaa6295a72576dcfa3b3588426fadaa76105c", |
| "language": "R", |
| "lines": 99, |
| "truncated": false, |
| "block": 10, |
| "row": 18217 |
| }, |
| { |
| "path": "r_scripts/syn_bin_size_effects_trials.R", |
| "sha256": "f62d7203e899d5e3a1c77cd8ac8422dc1948d95a4f64081c5f92286fb4efb35b", |
| "language": "R", |
| "lines": 100, |
| "truncated": false, |
| "block": 10, |
| "row": 18222 |
| }, |
| { |
| "path": "r_scripts/syn_computation_time.R", |
| "sha256": "2a9d5f073e7dd832674d9a166564088d2ecc687fc7b8850bd31dc2e7a4121351", |
| "language": "R", |
| "lines": 116, |
| "truncated": false, |
| "block": 10, |
| "row": 18188 |
| }, |
| { |
| "path": "r_scripts/syn_computation_time_input_len.R", |
| "sha256": "d38b228b8c09c2e5164f4d0d69429d360a24f4549dd2036b2818dbccf163cd97", |
| "language": "R", |
| "lines": 143, |
| "truncated": false, |
| "block": 10, |
| "row": 18331 |
| }, |
| { |
| "path": "r_scripts/syn_computation_time_trials.R", |
| "sha256": "78fa356aa6e2f5b899906e5f7e8b4c2d28ccc298e9cfd07f542e778dc257e361", |
| "language": "R", |
| "lines": 117, |
| "truncated": false, |
| "block": 10, |
| "row": 18190 |
| }, |
| { |
| "path": "r_scripts/syn_computation_time_trials_input_len.R", |
| "sha256": "ad0f34b104ec31c06649f7c657dec9228233bc84eba4fd297afd29ea144b5fa4", |
| "language": "R", |
| "lines": 143, |
| "truncated": false, |
| "block": 10, |
| "row": 18332 |
| }, |
| { |
| "path": "r_scripts/syn_duration_effect.R", |
| "sha256": "fbf14174e91598a3fe5abb96343822a36d1959bbf1c73fa6eae0d93345dba7f9", |
| "language": "R", |
| "lines": 223, |
| "truncated": false, |
| "block": 10, |
| "row": 18486 |
| }, |
| { |
| "path": "r_scripts/syn_duration_effect_big_ds.R", |
| "sha256": "6567df7739c773141956c000bb4c843eeeb5d06abd0ab76197f56df1f15d8c6a", |
| "language": "R", |
| "lines": 258, |
| "truncated": false, |
| "block": 10, |
| "row": 18548 |
| }, |
| { |
| "path": "r_scripts/syn_lv.R", |
| "sha256": "db9f9055fe734d0d6a6f27b8695183f671a5d7d69a89b149005e20403ea050d5", |
| "language": "R", |
| "lines": 71, |
| "truncated": false, |
| "block": 10, |
| "row": 18058 |
| }, |
| { |
| "path": "r_scripts/syn_n_trials_effect.R", |
| "sha256": "50e4dc032d0a1a51cde53ebbc81d68291d8e16c93c5bc9c3f0ee30eea2eb6c75", |
| "language": "R", |
| "lines": 226, |
| "truncated": false, |
| "block": 10, |
| "row": 18502 |
| }, |
| { |
| "path": "r_scripts/syn_parametric_dataset.R", |
| "sha256": "bc3c749c683b66963c083329d96a87d650b21a5f9e953c7d76165b69e18d9d29", |
| "language": "R", |
| "lines": 404, |
| "truncated": false, |
| "block": 10, |
| "row": 18706 |
| }, |
| { |
| "path": "r_scripts/syn_parametric_dataset_lv.R", |
| "sha256": "c391262c15264b4825e7ee50d9d28a029aed1da3fe9d6172fa945b6ca7a97325", |
| "language": "R", |
| "lines": 400, |
| "truncated": false, |
| "block": 10, |
| "row": 18693 |
| }, |
| { |
| "path": "r_scripts/syn_parametric_dataset_trials.R", |
| "sha256": "276d8fe3cafd81681b87bd08802248f54bafdc70cd6129ac200ce3f0e8fb46f0", |
| "language": "R", |
| "lines": 413, |
| "truncated": false, |
| "block": 10, |
| "row": 18729 |
| }, |
| { |
| "path": "r_scripts/syn_parametric_dataset_trials_big_ds.R", |
| "sha256": "ac0d9796325510eb92529ef576291ef9a8011ae3d4fcf9938ead9dfb24c0bc54", |
| "language": "R", |
| "lines": 256, |
| "truncated": false, |
| "block": 10, |
| "row": 18540 |
| }, |
| { |
| "path": "r_scripts/syn_parametric_inclusion.R", |
| "sha256": "1ab0d8938053c2dfbbde106298c9f8a85bd9633e0fca49480524ac460e10257b", |
| "language": "R", |
| "lines": 176, |
| "truncated": false, |
| "block": 10, |
| "row": 18454 |
| }, |
| { |
| "path": "r_scripts/syn_parametric_inclusion_full_rsquared.R", |
| "sha256": "6071f61343d9176bfa7f2d6c535b69e501ad1b6423f1ad95e92fb3c788f31f0e", |
| "language": "R", |
| "lines": 195, |
| "truncated": false, |
| "block": 10, |
| "row": 18481 |
| }, |
| { |
| "path": "r_scripts/syn_parametric_inclusion_ree_vs_3params.R", |
| "sha256": "47fad499051fc55b76f69af962db3b7527de06e3980292a63fc9e502c9f23f0e", |
| "language": "R", |
| "lines": 132, |
| "truncated": false, |
| "block": 10, |
| "row": 18251 |
| }, |
| { |
| "path": "r_scripts/tau_constrained_dataset.R", |
| "sha256": "7f61b40b0470f98e974ad3e87a281a6d04d6896fc2df8f2a620dca8f7e14e705", |
| "language": "R", |
| "lines": 86, |
| "truncated": false, |
| "block": 10, |
| "row": 18262 |
| }, |
| { |
| "path": "src/isttc/__init__.py", |
| "sha256": "f2898a5cdbd746cf53a7d7b43a78ae3d69cf999dbfda2eb562f329a896804e59", |
| "language": "Python", |
| "lines": 3, |
| "truncated": false, |
| "block": 10, |
| "row": 9700 |
| }, |
| { |
| "path": "src/isttc/acfunc.py", |
| "sha256": "dcaa2bc92ad9520c300f5fbf5f75591aaa7ba8f7f09edc220c1e51af3ea7481f", |
| "language": "Python", |
| "lines": 17, |
| "truncated": false, |
| "block": 10, |
| "row": 10052 |
| }, |
| { |
| "path": "src/isttc/scripts/calculate_acf.py", |
| "sha256": "e19fa6241c3ac8a7a9de5c4eb03d1791f0cc57a8bd2e3fd11ec041f864d575c9", |
| "language": "Python", |
| "lines": 659, |
| "truncated": false, |
| "block": 10, |
| "row": 17143 |
| }, |
| { |
| "path": "src/isttc/scripts/calculate_tau.py", |
| "sha256": "429fe9d0487c4862b3e3db61521d2ea2be42bbf1fed888a910912dc5359f6989", |
| "language": "Python", |
| "lines": 130, |
| "truncated": false, |
| "block": 10, |
| "row": 13646 |
| }, |
| { |
| "path": "src/isttc/scripts/cfg_global.py", |
| "sha256": "88ced987e70502d0e7d538a22bcd0d11621347e652d2cf3a90a7f3ab5629f69d", |
| "language": "Python", |
| "lines": 4, |
| "truncated": false, |
| "block": 10, |
| "row": 9810 |
| }, |
| { |
| "path": "src/isttc/scripts/estimate_resampling_params_mice.py", |
| "sha256": "f379d0d49ff28bacd8a671d633dafafae5aaac7e4e77b4d5bacbeae885232ba4", |
| "language": "Python", |
| "lines": 157, |
| "truncated": false, |
| "block": 10, |
| "row": 15148 |
| }, |
| { |
| "path": "src/isttc/scripts/estimate_resampling_params_syn.py", |
| "sha256": "37faa7940b77afd7898c4c8221b991cf97c449d59dee87292383f132387a5c03", |
| "language": "Python", |
| "lines": 108, |
| "truncated": false, |
| "block": 10, |
| "row": 14398 |
| }, |
| { |
| "path": "src/isttc/scripts/load_monkey_data.py", |
| "sha256": "992f894c30becb6fcf0a72945ebdfee3770834ffc2d14920493d396b3e095874", |
| "language": "Python", |
| "lines": 340, |
| "truncated": false, |
| "block": 10, |
| "row": 16426 |
| }, |
| { |
| "path": "src/isttc/scripts/run_allen_mice_data.py", |
| "sha256": "c25781b6f6d367f5912b298045cc28e60ccee60d076b02b237dc6f6f53e869f6", |
| "language": "Python", |
| "lines": 313, |
| "truncated": false, |
| "block": 10, |
| "row": 16348 |
| }, |
| { |
| "path": "src/isttc/scripts/run_fit_abctau.py", |
| "sha256": "b348a1e7cfed049d2d3ec8205530d7b8f815a05d60ca2d1122374fa8152b26a6", |
| "language": "Python", |
| "lines": 137, |
| "truncated": false, |
| "block": 10, |
| "row": 14136 |
| }, |
| { |
| "path": "src/isttc/scripts/run_syn_data.py", |
| "sha256": "780162ef2834fc20b3c21191f51941650af3dfde6014f233c3788bec6ffa805b", |
| "language": "Python", |
| "lines": 293, |
| "truncated": false, |
| "block": 10, |
| "row": 16048 |
| }, |
| { |
| "path": "src/isttc/scripts/spike_train_utils.py", |
| "sha256": "6a7ba6ac8d4eda4a9c3c4e1cdd8a49642224129398a7d2cecfbd43c48dc77668", |
| "language": "Python", |
| "lines": 166, |
| "truncated": false, |
| "block": 10, |
| "row": 14604 |
| }, |
| { |
| "path": "src/isttc/scripts/timeout_tests_abctau.py", |
| "sha256": "43c83a3fc16b2a82ce92a9b09c0ed884ddda7e241f463a9a0f4ed274851dada5", |
| "language": "Python", |
| "lines": 231, |
| "truncated": false, |
| "block": 10, |
| "row": 14811 |
| }, |
| { |
| "path": "src/isttc/scripts/timeout_tests_working.py", |
| "sha256": "03349740acc2b63d1be23bd87a583e6cdb2f72e1a2b2b8d453a43feb2a30cc45", |
| "language": "Python", |
| "lines": 47, |
| "truncated": false, |
| "block": 10, |
| "row": 11053 |
| }, |
| { |
| "path": "src/isttc/spike_utils.py", |
| "sha256": "e3ceb9fadfbf50626a27170d9f7708484cbebd017cabb27e40ceb5cde512e02f", |
| "language": "Python", |
| "lines": 15, |
| "truncated": false, |
| "block": 10, |
| "row": 9961 |
| }, |
| { |
| "path": "src/isttc/tau.py", |
| "sha256": "5458e4eca6f4dc3f92cbd6525d41be3d4ca54d0f4531ed6c2e6527f297267ff8", |
| "language": "Python", |
| "lines": 13, |
| "truncated": false, |
| "block": 10, |
| "row": 9926 |
| }, |
| { |
| "path": "tests/test_acf_sttc_fast.py", |
| "sha256": "273bb2e78fe8377fce9d4b65949baecf90e0f848908514ffd0667c1f7e933a1c", |
| "language": "Python", |
| "lines": 168, |
| "truncated": false, |
| "block": 10, |
| "row": 14092 |
| }, |
| { |
| "path": "tests/test_sttc_elephant.py", |
| "sha256": "44cae7399fbcea218dd9c19fd02e68ec14f96f43338da9c629e33bbbc9489496", |
| "language": "Python", |
| "lines": 136, |
| "truncated": false, |
| "block": 10, |
| "row": 13144 |
| } |
| ] |
| } |
