{"id":"W1988913716","doi":"10.1371/journal.pcbi.1002038","title":"Neurobiologically Realistic Determinants of Self-Organized Criticality in Networks of Spiking Neurons","year":2011,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":286,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Health and Medical Research Council; Natural Sciences and Engineering Research Council of Canada; Commonwealth Scientific and Industrial Research Organisation; James S. McDonnell Foundation","keywords":"Neuroscience; Computer science; Self-organized criticality; Modular design; Hebbian theory; Spike-timing-dependent plasticity; Synaptic plasticity; Physics; Network dynamics; Criticality; Statistical physics; Artificial intelligence; Biology; Artificial neural network; Mathematics","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":[0.0001887724,0.0001671593,0.0002066566,0.00033822,0.0002581747,0.0006171624,0.0003175536,0.0002759702,0.0005945386],"category_scores_gemma":[0.00229704,0.000198483,0.0001900692,0.00009246327,0.0007874212,0.0007557012,0.0004614826,0.0004158469,0.00004737679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005094932,"about_ca_system_score_gemma":0.0002959808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005143704,"about_ca_topic_score_gemma":0.000595748,"domain_scores_codex":[0.9999199,0.00001838088,0.000005633301,0.00001592104,0.00001989831,0.00002032572],"domain_scores_gemma":[0.999263,0.0003147562,0.0002039987,0.00005490327,0.0000505974,0.0001126788],"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":[0.0001935697,0.0001635269,0.02048722,0.0002509784,0.0001299928,0.00115314,0.0004176943,0.4401988,0.4014007,0.1252366,0.0004954324,0.009872291],"study_design_scores_gemma":[0.00002783996,0.0001138885,0.01780197,0.00002635554,0.0000339781,0.0003025101,0.0001347128,0.8862252,0.02403232,0.07073586,0.0005296206,0.00003575541],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9799702,0.00009915158,0.0180651,0.0000817212,0.000005300139,0.00001331261,0.00002245853,0.00005740238,0.001685278],"genre_scores_gemma":[0.9992893,0.00002714333,0.0006206715,0.000004775573,0.000002132557,0.000005861794,0.000007232436,0.000004603095,0.00003819622],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006171624,"threshold_uncertainty_score":0.00369668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07250800477120274,"score_gpt":0.2804472658172392,"score_spread":0.2079392610460364,"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."}}