{"id":"W2010876761","doi":"10.1162/08997660151134325","title":"Localist Attractor Networks","year":2001,"lang":"en","type":"article","venue":"Neural Computation","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Attractor; Spurious relationship; Computer science; Statistical physics; Topology (electrical circuits); Theoretical computer science; Mathematics; Physics; Machine learning; Mathematical analysis","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":[0.0005244641,0.0004524519,0.0005806217,0.0008391108,0.000452946,0.001052809,0.0006714785,0.0008055887,0.004301953],"category_scores_gemma":[0.003146082,0.0003114212,0.0006202115,0.00048333,0.001071748,0.001888122,0.0008776752,0.0007721444,0.0004316908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008685287,"about_ca_system_score_gemma":0.0003450905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001472274,"about_ca_topic_score_gemma":0.001563017,"domain_scores_codex":[0.9997391,0.00008863896,0.00001550893,0.00007841863,0.00005185899,0.00002644592],"domain_scores_gemma":[0.9990745,0.0005525924,0.0001436694,0.00007747951,0.0001049677,0.00004693216],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007141714,0.00002551844,0.002006854,0.0001992779,0.0001250195,0.0001422,0.0001592114,0.4546067,0.006680723,0.4831834,0.00243987,0.05035983],"study_design_scores_gemma":[0.00001297913,0.00002538944,0.0004348684,0.0000172147,0.00001727019,0.0000840658,0.00002250856,0.7801801,0.0008807365,0.2153487,0.002962171,0.00001390176],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05637661,0.001304713,0.9285352,0.0005141242,0.00007167496,0.00006852786,0.0002817994,0.0005793016,0.01226808],"genre_scores_gemma":[0.888114,0.001340801,0.1010739,0.0001533113,0.00007000664,0.0001996917,0.0002927246,0.0001002394,0.008655412],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004301953,"threshold_uncertainty_score":0.01439148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04136552500281545,"score_gpt":0.2760430936252047,"score_spread":0.2346775686223893,"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."}}