{"id":"W3030687700","doi":"10.1101/2020.05.25.115378","title":"Neuronal timescales are functionally dynamic and shaped by cortical microarchitecture","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; University of California, San Diego; Deutsche Forschungsgemeinschaft; Alexander von Humboldt-Stiftung; National Institute of General Medical Sciences; Whitehall Foundation; National Institutes of Health; National Science Foundation","keywords":"Neuroscience; Working memory; Prefrontal cortex; Cortex (anatomy); Human brain; Cognition; Infralimbic cortex; Biology; Electrophysiology; Psychology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002463594,0.0001803357,0.000190829,0.0004890891,0.0001672705,0.0006877047,0.0001908348,0.0002620766,0.001370987],"category_scores_gemma":[0.001329038,0.0001773196,0.0001271332,0.0003052936,0.0006244013,0.0006678218,0.0004058178,0.0003210773,0.0002076066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000275449,"about_ca_system_score_gemma":0.00016713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001316846,"about_ca_topic_score_gemma":0.001245627,"domain_scores_codex":[0.9999288,0.000008397015,0.000003905862,0.00003218672,0.00001533641,0.00001125665],"domain_scores_gemma":[0.9996221,0.0001165209,0.0001324269,0.00005154276,0.00004044214,0.00003695869],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002705306,0.0000285129,0.04236678,0.00021737,0.0001015208,0.0002548638,0.0005638633,0.01170873,0.8714281,0.01193307,0.001828152,0.05929853],"study_design_scores_gemma":[0.00001771697,0.00009014246,0.8160309,0.00006110377,0.00007870453,0.0006126225,0.0004124035,0.05414681,0.08554244,0.03695331,0.005962982,0.00009095731],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.950888,0.001484027,0.04242406,0.0003133586,0.00004713642,0.000006852983,0.0007854995,0.0004693421,0.003581662],"genre_scores_gemma":[0.9961914,0.0002529865,0.002850446,0.00002973316,0.00001414647,0.000006838072,0.0001528139,0.00005719521,0.0004445396],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001370987,"threshold_uncertainty_score":0.004586458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0144249326157018,"score_gpt":0.2116519204614387,"score_spread":0.1972269878457369,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}