{"id":"W2106582389","doi":"10.1371/journal.pcbi.1002667","title":"The Spatial Structure of Stimuli Shapes the Timescale of Correlations in Population Spiking Activity","year":2012,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research; U.S. Department of Defense; National Defense Science and Engineering Graduate; National Institute on Drug Abuse; Canada Research Chairs; National Science Foundation","keywords":"Stimulus (psychology); Neuroscience; Population; Correlation; Electric fish; Neural coding; Biology; Biological system; Psychology; Mathematics; Fish <Actinopterygii>; Cognitive psychology","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":[0.0001658543,0.0001889147,0.0001792254,0.0001505842,0.0001328897,0.0002964878,0.0002292419,0.0001961667,0.000506353],"category_scores_gemma":[0.001430411,0.000210133,0.0002310586,0.0001480012,0.0003848086,0.0004227621,0.000376002,0.0003265802,0.00009294807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003058448,"about_ca_system_score_gemma":0.0002633686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000296197,"about_ca_topic_score_gemma":0.0005389159,"domain_scores_codex":[0.9999048,0.0000167952,0.000007101087,0.00002961112,0.00002780607,0.00001388748],"domain_scores_gemma":[0.9995394,0.0002197182,0.0001198825,0.00004826371,0.00003047027,0.00004234923],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001248861,0.00002947874,0.003872736,0.00006629186,0.00002130326,0.0001678123,0.00007853705,0.02788405,0.9544711,0.00211743,0.00006907294,0.0110973],"study_design_scores_gemma":[0.00006839028,0.0007658169,0.1617255,0.00002799666,0.00008809906,0.0009778115,0.0001645314,0.5435925,0.2759717,0.01492821,0.00159594,0.00009352087],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9355623,0.0001621736,0.06245961,0.00008757952,0.0000121396,0.00002132986,0.00006746819,0.0001321303,0.001495306],"genre_scores_gemma":[0.9940554,0.0001011364,0.005621878,0.00001941163,0.000006133761,0.0000114089,0.00002497557,0.00001909083,0.000140479],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000506353,"threshold_uncertainty_score":0.002219081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03495070046332838,"score_gpt":0.2806007270815514,"score_spread":0.245650026618223,"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."}}