{"id":"W1911601558","doi":"10.1007/s00221-015-4482-7","title":"High noise correlation between the functionally connected neurons in emergent V1 microcircuits","year":2015,"lang":"en","type":"article","venue":"Experimental Brain Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke; Université de Montréal","funders":"","keywords":"Neuroscience; Noise (video); Visual cortex; Orientation (vector space); Correlation; Biological neural network; Population; Cortical neurons; Neural ensemble; Physics; Psychology; Biology; Computer science; Artificial intelligence; Mathematics; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001120759,0.0001560688,0.0001456298,0.0002418906,0.0003737083,0.0001162932,0.0003280406,0.00008221884,0.0002205449],"category_scores_gemma":[0.001397774,0.0001227402,0.00005519308,0.0009752406,0.0002513482,0.000228464,0.0002478456,0.0006066347,0.0003938378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002979475,"about_ca_system_score_gemma":0.0001237712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002873113,"about_ca_topic_score_gemma":0.00003012509,"domain_scores_codex":[0.9966241,0.0009725213,0.0003056328,0.0005484895,0.00103717,0.0005120615],"domain_scores_gemma":[0.9980586,0.001270656,0.00005925852,0.0003136813,0.0001077289,0.0001901074],"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":[0.0001296995,0.0001875253,0.003290314,0.000003092129,0.000004199191,0.00003065123,0.0005860837,0.0004451712,0.9724646,0.005136786,0.01703223,0.0006896873],"study_design_scores_gemma":[0.003887473,0.001565947,0.1607647,0.00004038308,0.000006033983,0.00006220175,0.002181972,0.01144382,0.7937388,0.004247997,0.02145706,0.0006036144],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.98908,0.00007952515,0.00009024519,0.007246459,0.0008274782,0.0006842389,0.00002485777,0.000056444,0.001910758],"genre_scores_gemma":[0.996653,0.000005706066,0.00001477812,0.0008892796,0.0002415422,0.0001063684,0.0000440103,0.00002808415,0.002017283],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1787257,"threshold_uncertainty_score":0.5062119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1487437031555804,"score_gpt":0.3751665575489151,"score_spread":0.2264228543933347,"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."}}