{"id":"W4285590190","doi":"10.3389/frai.2022.807406","title":"Generative Models of Brain Dynamics","year":2022,"lang":"en","type":"review","venue":"Frontiers in Artificial Intelligence","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Centre Hospitalier Universitaire Sainte-Justine; Mila - Quebec Artificial Intelligence Institute","funders":"Institut de Valorisation des Données; Consejo Nacional de Investigaciones Científicas y Técnicas; Canada Excellence Research Chairs, Government of Canada; Canadian Institute for Advanced Research","keywords":"Generative grammar; Computer science; Cognitive science; Abstraction; Generative model; Artificial intelligence; Computational neuroscience; Dynamics (music); Machine learning; Intersection (aeronautics); Computational model; Data science; Psychology; Epistemology; Engineering","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004484396,0.0003942407,0.001241331,0.0006003645,0.0001420303,0.00004978382,0.0007978651,0.0002062747,0.0001463327],"category_scores_gemma":[0.0006242825,0.0003759751,0.0003884559,0.001416954,0.0002513568,0.0001847347,0.0002494067,0.0007701191,0.0000143271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004880228,"about_ca_system_score_gemma":0.000206746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003422145,"about_ca_topic_score_gemma":0.00004780455,"domain_scores_codex":[0.9966129,0.000588323,0.001141288,0.0008339033,0.0004359141,0.0003876378],"domain_scores_gemma":[0.9983257,0.000576022,0.000546172,0.0004593298,0.00002414386,0.00006862648],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001455572,0.00009018808,3.193169e-7,0.0006838921,0.000009199496,0.00002599623,0.00009473402,0.003027245,0.00001572323,0.06140135,0.0004847142,0.9341521],"study_design_scores_gemma":[0.00001535101,0.000147921,2.6315e-8,0.0007695924,0.00006513946,0.00001787103,0.0002112,0.4832149,0.000447034,0.1413223,0.3732309,0.0005577488],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000008920581,0.7408124,0.2507915,0.0001092414,0.004936367,0.001053592,0.0003189771,0.00005130125,0.001917613],"genre_scores_gemma":[0.00008786591,0.9973727,0.00153136,0.0001449553,0.00008524237,0.0001336554,0.00007017179,0.00005920508,0.0005148835],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9335943,"threshold_uncertainty_score":0.9998692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1602874519354165,"score_gpt":0.3434879593599968,"score_spread":0.1832005074245804,"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."}}