{"id":"W3194134573","doi":"10.1101/2021.08.17.456520","title":"Learning to be on time: temporal coordination of neural dynamics by activity-dependent myelination","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; University of Toronto; Hospital for Sick Children; University of Ottawa","funders":"","keywords":"Neuroscience; Homeostatic plasticity; Mechanism (biology); Neuroplasticity; Synaptic plasticity; Neural activity; Synchronization (alternating current); Myelin; Metaplasticity; Axon; Physics; Biology; Computer science; Central nervous system; Receptor","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001608981,0.0001468153,0.000144426,0.0001058327,0.0001334252,0.0003248822,0.0002971738,0.0002070223,0.001098714],"category_scores_gemma":[0.0007901231,0.00009262008,0.0001587119,0.00007676575,0.0004178195,0.0004155033,0.0004043315,0.0003145696,0.0001230569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000232425,"about_ca_system_score_gemma":0.000187587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005456135,"about_ca_topic_score_gemma":0.0004860656,"domain_scores_codex":[0.999939,0.00001504622,0.000002845153,0.00001784876,0.00001357238,0.00001165128],"domain_scores_gemma":[0.9998061,0.0000553949,0.00005960374,0.00002793875,0.00001670639,0.00003431023],"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":[0.0002570058,0.0001029602,0.002835026,0.00008772423,0.00005184246,0.0003714139,0.000165946,0.4023277,0.4446263,0.1071546,0.001264015,0.04075539],"study_design_scores_gemma":[0.00001315784,0.00004838643,0.001479009,0.000004342515,0.000005839109,0.00006576733,0.00001484576,0.9567029,0.01362835,0.02732059,0.000706257,0.0000104359],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6712511,0.0002084459,0.3222487,0.0003656909,0.00005591896,0.00001670348,0.0000642095,0.0002508148,0.005538344],"genre_scores_gemma":[0.9918016,0.00006469827,0.007066389,0.00002044404,0.000007468948,0.00001103969,0.00001416514,0.00002000278,0.000994164],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001098714,"threshold_uncertainty_score":0.00367558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01561042434087806,"score_gpt":0.2305089949053797,"score_spread":0.2148985705645017,"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."}}