{"id":"W4400774594","doi":"10.7554/elife.91421.3.sa0","title":"eLife assessment: Non-Hebbian plasticity transforms transient experiences into lasting memories","year":2024,"lang":"en","type":"peer-review","venue":"","topic":"Memory and Neural Mechanisms","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Hebbian theory; Neuroscience; Synaptic plasticity; Content-addressable memory; Metaplasticity; Amygdala; Computer science; Associative property; Psychology; Optogenetics; Cognitive psychology; Artificial neural network; Artificial intelligence; Biology; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.003374179,0.000417679,0.0006447834,0.001083279,0.0009887533,0.001898988,0.001399754,0.0009328271,0.04350382],"category_scores_gemma":[0.01393433,0.0003267431,0.000314474,0.0005803718,0.001184671,0.002088167,0.002288409,0.00174795,0.01674696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009760393,"about_ca_system_score_gemma":0.003473773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002465445,"about_ca_topic_score_gemma":0.009823982,"domain_scores_codex":[0.9975939,0.0002821464,0.0001475089,0.0002889194,0.001392952,0.0002945319],"domain_scores_gemma":[0.9905409,0.001276907,0.0006091185,0.001022981,0.005570164,0.0009800006],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007191129,0.0001690218,0.003607182,0.001140476,0.0001103841,0.001144974,0.0007503812,0.001125229,0.1203306,0.02427952,0.1655786,0.6810445],"study_design_scores_gemma":[0.0001787286,0.0003264503,0.01373914,0.0004152351,0.0001205514,0.00193467,0.0006228461,0.004255488,0.1582204,0.02503327,0.795058,0.00009515306],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.2374186,0.01497206,0.2727412,0.03220195,0.01712428,0.001770173,0.004844503,0.01413059,0.4047966],"genre_scores_gemma":[0.4976131,0.008988502,0.09837916,0.002989372,0.001735922,0.0007096867,0.00402188,0.004207255,0.3813552],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.04350382,"threshold_uncertainty_score":0.1455348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09586327595294643,"score_gpt":0.3820772163385974,"score_spread":0.286213940385651,"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."}}