{"id":"W2576309903","doi":"10.1098/rstb.2016.0158","title":"Integrating Hebbian and homeostatic plasticity: the current state of the field and future research directions","year":2017,"lang":"en","type":"article","venue":"Philosophical Transactions of the Royal Society B Biological Sciences","topic":"Conducting polymers and applications","field":"Materials Science","cited_by":238,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute on Drug Abuse; Medical Research Council; National Institute of Neurological Disorders and Stroke; National Eye Institute; Biotechnology and Biological Sciences Research Council","keywords":"Hebbian theory; Current (fluid); Field (mathematics); Homeostatic plasticity; Plasticity; State (computer science); Computer science; Psychology; Neuroscience; Metaplasticity; Artificial intelligence; Engineering; Synaptic plasticity; Materials science; Artificial neural network; Biology; Mathematics; Electrical engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.0008941825,0.00008130209,0.0001279712,0.000009306135,0.004046018,0.0001183601,0.00074661,0.0000417864,0.00002960133],"category_scores_gemma":[0.0003524807,0.00003130696,0.000118332,0.0002083691,0.004586147,0.00005884197,0.0001531319,0.0004221324,4.857594e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000935688,"about_ca_system_score_gemma":0.00004410325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002761825,"about_ca_topic_score_gemma":0.00005157886,"domain_scores_codex":[0.998932,0.0001804427,0.0001911911,0.0002340676,0.0002727649,0.0001895282],"domain_scores_gemma":[0.9984139,0.00108086,0.0001415291,0.0002516589,0.00006442526,0.00004769116],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006625964,0.0006757778,0.01490781,0.0001668185,0.00008767411,1.917042e-7,0.005602184,0.0002331537,0.1610775,0.03280694,0.0003376322,0.7840381],"study_design_scores_gemma":[0.0007390708,0.001143952,0.3141268,0.0004647901,0.0001821609,0.00001301061,0.003933766,0.008873167,0.1312167,0.5304297,0.00821065,0.0006662974],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9142025,0.0005969864,0.0004765501,0.08394997,0.0002873441,0.0002259491,0.00004163374,0.00001042749,0.0002086026],"genre_scores_gemma":[0.9991214,0.0003963748,0.0002573368,0.00008489725,0.0000967414,0.00002179223,8.020766e-8,0.000001849448,0.00001958757],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7833718,"threshold_uncertainty_score":0.9981228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09897717303972578,"score_gpt":0.3669001014643766,"score_spread":0.2679229284246508,"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."}}