{"id":"W4226227343","doi":"10.3389/fncom.2022.757244","title":"Forgetting Enhances Episodic Control With Structured Memories","year":2022,"lang":"en","type":"article","venue":"Frontiers in Computational Neuroscience","topic":"Memory and Neural Mechanisms","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Mila - Quebec Artificial Intelligence Institute; Montreal Neurological Institute and Hospital; The Scarborough Hospital; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Ontario; Canada First Research Excellence Fund; University of Toronto; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Canadian Institute for Advanced Research","keywords":"Forgetting; Mnemonic; Episodic memory; Reinforcement learning; Cognitive psychology; Control (management); Psychology; Reinforcement; Computer science; Encoding (memory); Artificial intelligence; Neuroscience; Social psychology; Cognition","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":[0.0004569211,0.0003404753,0.0003215034,0.0001977512,0.0001478555,0.000693575,0.0006567026,0.0003583769,0.002153725],"category_scores_gemma":[0.003915567,0.0001755121,0.0002975877,0.0001034978,0.0005126382,0.001109943,0.0007006587,0.0005739108,0.0001876462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002732294,"about_ca_system_score_gemma":0.0003169753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005114341,"about_ca_topic_score_gemma":0.000528879,"domain_scores_codex":[0.9997961,0.00003036101,0.00002332128,0.00005568588,0.00005428197,0.00004029721],"domain_scores_gemma":[0.9973263,0.0008656973,0.0005866504,0.0007701137,0.0002056163,0.0002457727],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003070401,0.001559625,0.04409126,0.0008148442,0.0005940863,0.001534953,0.001151088,0.1562637,0.4889882,0.0276131,0.001176342,0.2731423],"study_design_scores_gemma":[0.0002268009,0.003337291,0.05516305,0.000080305,0.0003030026,0.001064792,0.0003039646,0.6517498,0.2206927,0.06166407,0.005327529,0.00008672737],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9595319,0.0001906307,0.03799314,0.0000770554,0.00002556757,0.00002176484,0.00003645958,0.0002322338,0.001891112],"genre_scores_gemma":[0.9940399,0.00006958402,0.005259887,0.00001948192,0.000008176228,0.000009677351,0.00004942195,0.00001479485,0.0005290966],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002153725,"threshold_uncertainty_score":0.00720495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02787675750614243,"score_gpt":0.2661523270632634,"score_spread":0.2382755695571209,"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."}}