{"id":"W2132581407","doi":"10.1186/1471-2202-15-s1-p48","title":"Structured chaos shapes joint spike-response noise entropy in temporally driven balanced networks","year":2014,"lang":"en","type":"article","venue":"BMC Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; University of Washington; Burroughs Wellcome Fund; National Institutes of Health; National Science Foundation","keywords":"Spike (software development); Computer science; Statistical physics; Spike train; Noise (video); CHAOS (operating system); Joint (building); Entropy (arrow of time); Artificial intelligence; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005646957,0.0004050582,0.0004288925,0.000672598,0.0003763183,0.0008731156,0.0006717389,0.0007819672,0.001072463],"category_scores_gemma":[0.004599432,0.0003083084,0.0003390119,0.0002494018,0.001326773,0.00123468,0.0008780119,0.0005053467,0.0001141332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008544258,"about_ca_system_score_gemma":0.0002336176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009767918,"about_ca_topic_score_gemma":0.0009977758,"domain_scores_codex":[0.9997844,0.00007022812,0.00001071127,0.00003712911,0.00005898907,0.00003849816],"domain_scores_gemma":[0.9977906,0.001322931,0.0004511735,0.00009140387,0.0001579817,0.0001859203],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001629692,0.00005107895,0.004710633,0.00009327213,0.00006976945,0.0004208527,0.0002457799,0.8267704,0.04333252,0.1190842,0.0004552806,0.004603382],"study_design_scores_gemma":[0.00000362822,0.00001419642,0.0009293688,0.000004153947,0.00000323656,0.00003088081,0.000009587334,0.9780668,0.0007742222,0.02010486,0.00005087138,0.000008193633],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7846793,0.0003309409,0.2092762,0.0003633222,0.00002223563,0.00002840545,0.0001650006,0.0001927146,0.004941786],"genre_scores_gemma":[0.9969739,0.00004806195,0.002497558,0.00001821284,0.000008874005,0.00001842887,0.00003928291,0.00002138773,0.0003742022],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001072463,"threshold_uncertainty_score":0.00619936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02608755338910928,"score_gpt":0.2433825831413201,"score_spread":0.2172950297522108,"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."}}