{"id":"W4382652015","doi":"10.1101/2023.06.29.547097","title":"Cellular Substrate of Eligibility Traces","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neuroscience and Neuropharmacology Research","field":"Neuroscience","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Fondation Brain Canada; University of Ottawa","keywords":"Hebbian theory; Neuroscience; Synaptic plasticity; Postsynaptic potential; Long-term potentiation; Computer science; Calcium imaging; Metaplasticity; Neural substrate; Associative learning; Engram; Artificial intelligence; Psychology; Artificial neural network; Chemistry; Calcium","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":[0.0001784279,0.000176965,0.0002398336,0.000282508,0.0002592756,0.0007700176,0.0006371444,0.0005186573,0.001499315],"category_scores_gemma":[0.001223905,0.0002062535,0.0003427223,0.0001744001,0.0005731251,0.0008732187,0.000635385,0.0008671163,0.0002236052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006011855,"about_ca_system_score_gemma":0.0003782914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008058551,"about_ca_topic_score_gemma":0.0005026835,"domain_scores_codex":[0.9998509,0.00001320584,0.00001202534,0.00004244161,0.00004415494,0.00003732494],"domain_scores_gemma":[0.9995489,0.00009819184,0.00009758356,0.0001046609,0.00006409434,0.00008661707],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001047237,0.00004099267,0.002176957,0.00008841558,0.00002349095,0.0004708036,0.00007896626,0.01663494,0.9331703,0.0396267,0.0002506474,0.007333265],"study_design_scores_gemma":[0.00005556076,0.0002558999,0.02027473,0.00003099348,0.0000454848,0.001154656,0.0001728748,0.5275676,0.3885256,0.05712388,0.004721392,0.00007126601],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9069704,0.0003217789,0.08775153,0.0002764108,0.00004372574,0.00003659232,0.0002786244,0.0006365423,0.003684367],"genre_scores_gemma":[0.9974427,0.00005736271,0.002010761,0.0000123384,0.000003963806,0.00001107858,0.00004788228,0.00001383826,0.0004000576],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001499315,"threshold_uncertainty_score":0.005015731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07232368468134723,"score_gpt":0.3196328409646543,"score_spread":0.247309156283307,"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."}}