{"id":"W4405318623","doi":"10.1016/j.xinn.2024.100735","title":"Principles of visual cortex excitatory microcircuit organization","year":2024,"lang":"en","type":"article","venue":"The Innovation","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill University Health Centre","funders":"Institute of Neurosciences, Mental Health and Addiction; Fonds de recherche du Québec – Nature et technologies; Fonds de Recherche du Québec - Santé; Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation; Universities Space Research Association; Canadian Institutes of Health Research; McGill University Health Centre; International Brain Research Organization; Réseau en Bio-Imagerie du Quebec","keywords":"Excitatory postsynaptic potential; Neuroscience; Visual cortex; Cortex (anatomy); Cognitive science; Psychology; Inhibitory postsynaptic potential","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":[0.0001880375,0.0001951174,0.0001853512,0.0004216477,0.0002287883,0.0008290645,0.0006204614,0.0002951439,0.0006299747],"category_scores_gemma":[0.0004255277,0.0002539454,0.000159167,0.0001380369,0.0007300767,0.0007860565,0.0003487754,0.0003433036,0.0001634056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007225268,"about_ca_system_score_gemma":0.0004013173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000860482,"about_ca_topic_score_gemma":0.001287114,"domain_scores_codex":[0.9998786,0.00001432147,0.000007086891,0.00004178015,0.00003645562,0.00002169399],"domain_scores_gemma":[0.9999068,0.0000245747,0.00002036741,0.00001531999,0.00001918966,0.00001378191],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000630475,0.00003717225,0.004482044,0.0001496074,0.00004074805,0.0002394759,0.0002876809,0.02519954,0.8172147,0.1119718,0.000488357,0.03982585],"study_design_scores_gemma":[0.00005720698,0.0003222111,0.07143117,0.00006869979,0.00005999707,0.001548934,0.0003465402,0.4424697,0.3046361,0.1688332,0.01011426,0.0001120016],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6267361,0.001261453,0.3584267,0.0005491402,0.00002343518,0.00008094061,0.0002954489,0.0007396133,0.01188702],"genre_scores_gemma":[0.9727197,0.0003527281,0.02570709,0.00003459749,0.000006189615,0.00005244536,0.00005190212,0.00003643092,0.001038981],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000860482,"threshold_uncertainty_score":0.005242348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03593216735156283,"score_gpt":0.2747989427032617,"score_spread":0.2388667753516988,"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."}}