{"id":"W1858695574","doi":"10.1090/s0002-9939-00-05635-5","title":"Desynchronization of large scale delayed neural networks","year":2000,"lang":"en","type":"article","venue":"Proceedings of the American Mathematical Society","topic":"Neural Networks Stability and Synchronization","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Scalar (mathematics); Differential equation; Mathematics; Mathematical analysis; Delay differential equation; Ring (chemistry); Scale (ratio); Inhibitory postsynaptic potential; Control theory (sociology); Negative feedback; Physics; Computer science; Neuroscience; Geometry; Chemistry; Quantum mechanics; Psychology","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":[0.000244724,0.0002373359,0.0002585866,0.0002113523,0.0002239637,0.0003851947,0.0004113835,0.0002651716,0.001071449],"category_scores_gemma":[0.001331943,0.0001347647,0.0001784814,0.0001216766,0.0004758838,0.0005567619,0.000557882,0.0002765592,0.0001030143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003140491,"about_ca_system_score_gemma":0.0001435581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006998772,"about_ca_topic_score_gemma":0.0004943914,"domain_scores_codex":[0.9999001,0.00002522729,0.000005045351,0.00003105916,0.00002275364,0.00001585515],"domain_scores_gemma":[0.9996985,0.00008343413,0.0001106525,0.00003198404,0.00003663497,0.00003882653],"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":[0.0004036734,0.00006989991,0.00366934,0.0001021053,0.0001009127,0.0008417458,0.0003016024,0.6905974,0.1095386,0.1729994,0.0009498493,0.02042555],"study_design_scores_gemma":[0.00002270833,0.00005711674,0.0007877245,0.000002732556,0.000009766901,0.00006314035,0.00003060711,0.9779099,0.002496815,0.01817259,0.0004385639,0.000008379846],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7804219,0.0002805683,0.2113163,0.0003065959,0.00006643578,0.000021931,0.00005018127,0.0001478783,0.007388123],"genre_scores_gemma":[0.9969591,0.00006881283,0.001896714,0.00001407796,0.00001198004,0.000009744454,0.00001080566,0.000006708004,0.001022046],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001071449,"threshold_uncertainty_score":0.003584385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006448348064432409,"score_gpt":0.2263774436892566,"score_spread":0.2199290956248242,"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."}}