{"id":"W2002526382","doi":"10.1016/s0167-2789(00)00216-5","title":"Stabilization role of inhibitory self-connections in a delayed neural network","year":2001,"lang":"en","type":"article","venue":"Physica D Nonlinear Phenomena","topic":"Neural Networks Stability and Synchronization","field":"Computer Science","cited_by":66,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland; York University; University of Victoria","funders":"","keywords":"Inhibitory postsynaptic potential; Convergence (economics); Embedding; Artificial neural network; Order (exchange); Computer science; Monotone polygon; Hopfield network; Mathematics; Neuroscience; Artificial intelligence; Biology; Economics","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":[],"consensus_categories":[],"category_scores_codex":[0.0001860407,0.0001460789,0.0002167121,0.00008034322,0.0001045139,0.00004043425,0.0003406636,0.00004488902,0.00001354557],"category_scores_gemma":[0.00001822779,0.0001506103,0.00006498949,0.001369556,0.00004194524,0.0005911592,0.0001331425,0.0001526947,0.00001004289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008874456,"about_ca_system_score_gemma":0.00006118946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004861876,"about_ca_topic_score_gemma":0.0001277501,"domain_scores_codex":[0.9986115,0.0001443404,0.0003655807,0.0003572007,0.0002024273,0.0003189545],"domain_scores_gemma":[0.9991305,0.0001273314,0.0001375949,0.0004325136,0.0001074571,0.00006462317],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001289297,0.002675643,0.02224893,0.00007034064,0.00007114554,0.000008455468,0.006515306,0.8408275,0.007353786,0.041041,0.0002126166,0.07884634],"study_design_scores_gemma":[0.000368783,0.0001438507,0.002324668,0.00001413293,0.000006718525,0.000002752651,0.00006245442,0.9885283,0.0004278344,0.005756776,0.002193137,0.000170642],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9617702,0.0002999112,0.03441095,0.0005498592,0.000337348,0.0004779915,0.000005900229,0.0002895161,0.001858341],"genre_scores_gemma":[0.9928949,0.00003715799,0.006182851,0.00008074485,0.0007396188,0.00001963239,0.00001919348,0.0000137667,0.00001211332],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1477007,"threshold_uncertainty_score":0.614171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008845053933294171,"score_gpt":0.2188741999472418,"score_spread":0.2100291460139476,"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."}}