{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007265363,0.001014749,0.0009269075,0.001292926,0.0002429501,0.001263882,0.001192766,0.001391888,0.00359612],"category_scores_gemma":[0.001529787,0.0003397359,0.0007737052,0.001107093,0.001313657,0.001605727,0.0007565594,0.001517365,0.001539342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009392621,"about_ca_system_score_gemma":0.0008161838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001869615,"about_ca_topic_score_gemma":0.001463288,"domain_scores_codex":[0.9998317,0.00005774221,0.00000859077,0.00004207792,0.00004650322,0.0000133656],"domain_scores_gemma":[0.9995359,0.0003515584,0.00002283386,0.00003135699,0.00004379075,0.00001440729],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001788786,0.00002218424,0.0004769394,0.002121746,0.000152216,0.0002112367,0.0001853684,0.04807145,0.001110324,0.7501526,0.01689759,0.1805804],"study_design_scores_gemma":[0.000009651243,0.00002599045,0.0008315398,0.0008018498,0.00008255803,0.0007406463,0.00006180575,0.04580376,0.0006009474,0.7169184,0.2340706,0.0000522135],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.004551621,0.6322315,0.306922,0.007330052,0.001048515,0.00005828251,0.0007607618,0.0005447611,0.04655248],"genre_scores_gemma":[0.1336765,0.8036274,0.04386355,0.001742517,0.001713446,0.000200379,0.001072379,0.0001525967,0.01395122],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.00359612,"threshold_uncertainty_score":0.01203024,"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."}}