{"id":"W2996030805","doi":"10.1038/s41593-019-0548-3","title":"Context-dependent representations of objects and space in the primate hippocampus during virtual navigation","year":2019,"lang":"en","type":"article","venue":"Nature Neuroscience","topic":"Memory and Neural Mechanisms","field":"Neuroscience","cited_by":117,"is_retracted":false,"has_abstract":false,"ca_institutions":"Douglas Mental Health University Institute; Ottawa Hospital; McGill University; Robarts Clinical Trials; Western University","funders":"CIHR Skin Research Training Centre; Canadian Institutes of Health Research; Next Generation Network for Neuroscience; Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Mnemonic; Content-addressable memory; Neuroscience; Population; Computer science; Episodic memory; Perception; Spatial memory; Neural coding; Coding (social sciences); Associative property; Macaque; Psychology; Working memory; Cognition; Artificial intelligence; Cognitive psychology; Artificial neural network","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":[0.0001129711,0.0001512257,0.0002369769,0.000153102,0.0001846479,0.0007572532,0.0003991381,0.0003103314,0.001040424],"category_scores_gemma":[0.001066142,0.0001950492,0.0001327657,0.0002364021,0.0003926919,0.00082679,0.0005503065,0.0004862966,0.0001035788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002330276,"about_ca_system_score_gemma":0.0003569759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001734796,"about_ca_topic_score_gemma":0.0033026,"domain_scores_codex":[0.9999269,0.00001120328,0.000003959764,0.00001402049,0.00002142479,0.00002246074],"domain_scores_gemma":[0.9997966,0.00005469928,0.00005930788,0.00002390902,0.00002705103,0.00003843971],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001577767,0.00008625076,0.009790605,0.0002452911,0.0001188672,0.0003664766,0.001370994,0.005789448,0.9294093,0.004151061,0.0007476895,0.04634614],"study_design_scores_gemma":[0.0002384231,0.001285163,0.7210319,0.000161338,0.0002801533,0.002165485,0.00285625,0.05377991,0.1728788,0.0400154,0.005160843,0.000146361],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934522,0.000378589,0.004118267,0.00008272026,0.00002762584,0.000003989578,0.00007535947,0.0000330856,0.001828231],"genre_scores_gemma":[0.9986671,0.0001547071,0.0007437663,0.00001437526,0.000005842372,0.000004015614,0.00005623666,0.00001585246,0.0003380743],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001734796,"threshold_uncertainty_score":0.003480554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02404564939441877,"score_gpt":0.3124616938751646,"score_spread":0.2884160444807458,"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."}}