{"id":"W3084165391","doi":"10.1073/pnas.2009576117","title":"Rapid hippocampal plasticity supports motor sequence learning","year":2020,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Memory and Neural Mechanisms","field":"Neuroscience","cited_by":120,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Neurological Institute and Hospital; McGill University; Douglas Mental Health University Institute","funders":"Fondo para la Investigación Científica y Tecnológica; Ministerio de Ciencia, Tecnología e Innovación Productiva; Réseau en Bio-Imagerie du Quebec","keywords":"Computer science; Hippocampus; Mechanism (biology); Sequence learning; Neuroscience; Hippocampal formation; Sequence (biology); Neuroplasticity; Offline learning; Cognitive psychology; Psychology; Multimedia; Biology; Online learning","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":[],"consensus_categories":[],"category_scores_codex":[0.0005955084,0.0001031161,0.0001492939,0.0000697108,0.0003174751,0.00002895927,0.0009244043,0.00005873423,0.00009827083],"category_scores_gemma":[0.0049512,0.00006979791,0.00007205884,0.0007731291,0.0007145903,0.000551343,0.0001868863,0.0002969882,0.000007670174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001381888,"about_ca_system_score_gemma":0.00003309825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":3.6918e-7,"about_ca_topic_score_gemma":2.869947e-9,"domain_scores_codex":[0.9978538,0.00001959466,0.0002919994,0.000370807,0.001271672,0.0001921547],"domain_scores_gemma":[0.9991078,0.0003046247,0.0004091275,0.000004344387,0.00008978721,0.00008433446],"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":[0.00002529975,0.00001292792,0.0003387768,0.00003868511,0.000001055026,3.74399e-8,0.0001724984,0.00008091751,0.9836929,0.01523943,0.0001080693,0.0002894235],"study_design_scores_gemma":[0.00009083058,0.0001614162,0.001318398,0.00003113614,0.000004337208,0.00001495922,0.0000725721,0.004849855,0.9797014,0.01353712,0.0001416787,0.00007630026],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921155,0.000009334099,0.00000275823,0.004335101,0.00003007183,0.0001605774,0.00001321036,0.00003159828,0.003301869],"genre_scores_gemma":[0.9975235,0.0000173135,0.0003504829,0.001917319,0.00008859395,0.000005326775,2.465416e-8,0.000004015159,0.00009335718],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005408087,"threshold_uncertainty_score":0.5927407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1855208916304637,"score_gpt":0.3386329010848211,"score_spread":0.1531120094543574,"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."}}