{"id":"W1978907976","doi":"10.1103/physreve.79.011914","title":"Noise shaping in neural populations","year":2009,"lang":"en","type":"article","venue":"Physical Review E","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research; Consejo Nacional de Ciencia y Tecnología","keywords":"Excitatory postsynaptic potential; Information transmission; Renewal theory; Coupling (piping); Coupling strength; Stimulus (psychology); Train; Artificial neural network; Statistical physics; Biological system; Interval (graph theory); Computer science; Noise (video); Physics; Inhibitory postsynaptic potential; Mathematics; Neuroscience; Statistics; Artificial intelligence; Biology; Combinatorics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005060862,0.0000720434,0.0001514873,0.00002523756,0.00004954731,0.00001833585,0.00008272994,0.000007856772,0.00001382413],"category_scores_gemma":[0.0003442491,0.00005785451,0.0000733238,0.0003371845,0.00001265376,0.0001641472,0.00001536806,0.0001192771,0.0000675414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001665115,"about_ca_system_score_gemma":0.000003567314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004108919,"about_ca_topic_score_gemma":0.000002787384,"domain_scores_codex":[0.9993458,0.00005378153,0.000137952,0.0001981131,0.000126423,0.0001378778],"domain_scores_gemma":[0.999734,0.00005183929,0.00003921293,0.0001263608,0.000007960201,0.00004055687],"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":[0.00001083534,0.0004535364,0.0004448087,0.000229277,6.027584e-7,0.00002781994,0.00003984106,0.000384801,0.4478582,0.161976,0.0007834025,0.3877909],"study_design_scores_gemma":[0.0007605247,0.0004868628,0.1981289,0.002635159,0.00005436998,0.00003911978,0.000003256901,0.6371552,0.007259944,0.1351008,0.01743867,0.0009371627],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9787868,0.001868252,0.00007582744,0.01246172,0.000215692,0.0004603769,0.00000372156,0.00009878341,0.006028858],"genre_scores_gemma":[0.9905026,0.000742909,0.00001694226,0.008606111,0.00007641555,0.000006899094,0.000002039791,0.000004104954,0.00004197381],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6367704,"threshold_uncertainty_score":0.2359238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.109489927054661,"score_gpt":0.3650640978075039,"score_spread":0.2555741707528429,"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."}}