{"id":"W2968451269","doi":"10.1038/s41593-019-0460-x","title":"The intrinsic attractor manifold and population dynamics of a canonical cognitive circuit across waking and sleep","year":2019,"lang":"en","type":"article","venue":"Nature Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":418,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Simons Institute for the Theory of Computing, University of California Berkeley; National Institutes of Health; Howard Hughes Medical Institute; Canada Research Chairs; Simons Foundation; University of California Berkeley","keywords":"Attractor; Population; Manifold (fluid mechanics); Topology (electrical circuits); Invariant (physics); Dynamical systems theory; Invariant manifold; Mathematics; Computer science; Pure mathematics; Physics; Mathematical analysis","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":[0.0001099792,0.0001109526,0.0002012562,0.0002869334,0.0002268432,0.0005341445,0.0002231337,0.0002230028,0.00229449],"category_scores_gemma":[0.00119137,0.0001049938,0.0002114458,0.0001275066,0.0005706956,0.000926338,0.0004389643,0.0003373718,0.0001478585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002799258,"about_ca_system_score_gemma":0.000215823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001295258,"about_ca_topic_score_gemma":0.001324217,"domain_scores_codex":[0.9999634,0.000006589827,0.000001469758,0.00001443163,0.000005288594,0.00000889588],"domain_scores_gemma":[0.9998234,0.00005144843,0.00003252374,0.00002491398,0.00003164728,0.00003608798],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0006888557,0.0001861428,0.04495694,0.000176315,0.0002281221,0.000531989,0.002105312,0.1502971,0.1990634,0.4656571,0.005453623,0.130655],"study_design_scores_gemma":[0.0000250988,0.0001376014,0.1131556,0.00002149647,0.00003330868,0.0003170869,0.0005200173,0.6306608,0.003634087,0.2495116,0.001922797,0.00006054157],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9573431,0.0001550756,0.0372823,0.0003294727,0.00002403332,0.00001162195,0.0001981669,0.00009210066,0.004564049],"genre_scores_gemma":[0.9974464,0.00004666326,0.001729359,0.00001046723,0.000008255563,0.000007525454,0.00005886914,0.00001611774,0.0006764337],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00229449,"threshold_uncertainty_score":0.007675827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01548255746656812,"score_gpt":0.2751271051484505,"score_spread":0.2596445476818823,"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."}}