{ "format": "oscr-script-manifest/1", "repository": "github.com/dynamicsandneuralsystems/geometricfnpmodel", "url": "https://github.com/DynamicsAndNeuralSystems/geometricFNPmodel", "host": "github.com", "commit": "2c6fde160b2e28e9e4e3ae0283e96940cc39d4f7", "license": "GPL-3.0", "license_confirmed_by": "license file LICENSE", "redistribution": "yes", "files": [ { "path": "Experiments/correlation_scale_spontaneous.m", "sha256": "61ece73e909536fd0c92573eab9822b88c03d9fc7bc15721e9652568720f24d3", "language": "MATLAB", "lines": 331, "truncated": false, "block": 3, "row": 16420 }, { "path": "Experiments/fig1_materialsandmethods.m", "sha256": "f0cb722acce129355da9ea483dc40565bfb3f75f16882dc7769b9d0c6b330da9", "language": "MATLAB", "lines": 154, "truncated": false, "block": 3, "row": 14613 }, { "path": "Experiments/fig2_proofofprinciple.m", "sha256": "e71c5aca40d514d22cd0bb6990e9096fc3dcc29565664c0074296864995ecb8f", "language": "MATLAB", "lines": 160, "truncated": false, "block": 3, "row": 15386 }, { "path": "Experiments/fig3_timescales.m", "sha256": "46e3836275aee650b1887bcea2b376909acf5293e49601a188ddf835b3eb5922", "language": "MATLAB", "lines": 301, "truncated": false, "block": 3, "row": 16372 }, { "path": "Experiments/fig4_fMRI.m", "sha256": "3d8cc343e9286cbcf8dd40cfadc943a191ff1596e2cd5b065b23cafe5d747b3e", "language": "MATLAB", "lines": 286, "truncated": false, "block": 3, "row": 16182 }, { "path": "Experiments/fig5_spontaneous.m", "sha256": "51f1c2e598902b3dd88baa1a6ea067a4cb1fdc3a8ce6a19ae6ad8db86f444fdd", "language": "MATLAB", "lines": 294, "truncated": false, "block": 3, "row": 16452 }, { "path": "Experiments/fig6_connectome_random.m", "sha256": "e96237b26c97d9709234db4bdc87864025b65c38e3aaf5f459be259f29d671a9", "language": "MATLAB", "lines": 225, "truncated": false, "block": 3, "row": 15169 }, { "path": "Experiments/fig7_connectome_nonrandom.m", "sha256": "8ffc53be6c2272cc230ce9068a6ef2dbfea424721dba358008227f1c8de62a50", "language": "MATLAB", "lines": 944, "truncated": false, "block": 3, "row": 17061 }, { "path": "Experiments/supplementary.m", "sha256": "e7dbb70c09cd2b4056f08407b6be5f3f3a16c7a852d8089b4b9f438639b20574", "language": "MATLAB", "lines": 880, "truncated": false, "block": 3, "row": 17035 }, { "path": "LICENSE", "sha256": "3972dc9744f6499f0f9b2dbf76696f2ae7ad8af9b23dde66d6af86c9dfb36986", "language": "License", "lines": 674, "truncated": false, "block": 1, "row": 2235 }, { "path": "Model/Convolution.m", "sha256": "0960ef657a8833d0ad7a42020b4fbc28cb6603adfde27939f533eb7db85395fe", "language": "MATLAB", "lines": 34, "truncated": false, "block": 3, "row": 10801 }, { "path": "Model/Laplacian_2D.m", "sha256": "7044287bc85475ce0cea0021f335220b05395539e9288662b9b3c61a6866750e", "language": "MATLAB", "lines": 24, "truncated": false, "block": 3, "row": 10764 }, { "path": "Model/compute_scf.m", "sha256": "2059edc766b2c3d69f3b9047cf0d66a41a8333f05d0b3979d7e16231ec1ef1b8", "language": "MATLAB", "lines": 83, "truncated": false, "block": 3, "row": 13291 }, { "path": "Model/compute_spont_corr.m", "sha256": "1d73367d67b07bd448d6a1a608515a7d69ec9699c4c6a982a3208474578b8aed", "language": "MATLAB", "lines": 85, "truncated": false, "block": 3, "row": 13756 }, { "path": "Model/demonstrations.m", "sha256": "f9c799ecf83f4bc2cdf78a040502570c95b9f2373a68752c6a23df3a945c28ef", "language": "MATLAB", "lines": 141, "truncated": false, "block": 3, "row": 13780 }, { "path": "Model/generate_connectome_edr.m", "sha256": "0e90da3898d217371b04ecae757215c9995631fb8bbbd46819c04574ac92fe22", "language": "MATLAB", "lines": 37, "truncated": false, "block": 3, "row": 10676 }, { "path": "Model/generate_connectome_hub.m", "sha256": "d561f3705210fb7f6b04c7280335bd1b56b3ba55e688460a5f0a67a688fe94f6", "language": "MATLAB", "lines": 52, "truncated": false, "block": 3, "row": 12081 }, { "path": "Model/generate_connectome_richclub.m", "sha256": "d0e8a6cfcbbc85ddd26a472500ceefbdbc90ccd92c5a8409eeb44642a5ab9e62", "language": "MATLAB", "lines": 53, "truncated": false, "block": 3, "row": 12233 }, { "path": "Model/loadparam.m", "sha256": "23fe605a682a359d3a7481f764e0a418a445d428279fc64f5ff3bb6a647e378a", "language": "MATLAB", "lines": 57, "truncated": false, "block": 3, "row": 10250 }, { "path": "Model/run_absorbing.m", "sha256": "7dce0b6d47057ca15f12c938bc125bae5c11192ce325412997b60cd4358fb3c2", "language": "MATLAB", "lines": 190, "truncated": false, "block": 3, "row": 15449 }, { "path": "Model/run_bold.m", "sha256": "d62199bddc614080643628fe003acacb1bb09d1bb4c9bd634d6dcc08f139557d", "language": "MATLAB", "lines": 82, "truncated": false, "block": 3, "row": 12827 }, { "path": "Model/run_bold_absorbing.m", "sha256": "a98a3567dc20efd1bce02d4c3835298f6f63a01b93b3cf0571291069c777a7d6", "language": "MATLAB", "lines": 84, "truncated": false, "block": 3, "row": 13008 }, { "path": "Model/run_init_absorbing.m", "sha256": "83e3c289624a52827e2d7c3a874d1cbfc1fd862122f89d422afdd4c09447b8c5", "language": "MATLAB", "lines": 194, "truncated": false, "block": 3, "row": 15484 }, { "path": "Model/run_init_cstminput_periodic.m", "sha256": "7620e4bd55ad0fd9ebca328b5471c5857f1c821f60bed776c4a4d2a5fa7561b2", "language": "MATLAB", "lines": 144, "truncated": false, "block": 3, "row": 14738 }, { "path": "Model/run_init_periodic.m", "sha256": "ea9f30afa23520be15d7013d87d4c9b2ff7659d9a1ab68cb2cc5bc8a86751699", "language": "MATLAB", "lines": 197, "truncated": false, "block": 3, "row": 15498 }, { "path": "Model/run_periodic.m", "sha256": "036a36e40517c736fe391e2ee408277b336ebde291e56dc54ba969f87de64d84", "language": "MATLAB", "lines": 192, "truncated": false, "block": 3, "row": 15433 }, { "path": "Model/wave_eq_2D.m", "sha256": "4e7b6289ec0e000d3ad3069ec1839d269eb3dd8875290338c793199e3215c87c", "language": "MATLAB", "lines": 22, "truncated": false, "block": 3, "row": 10209 }, { "path": "README.md", "sha256": "3778873db9b520f9a3a5636f7613bb51e5800fca502fffcbb944143dc565379a", "language": "Text", "lines": 33, "truncated": false, "block": 4, "row": 2375 } ] }