{"id":"W3009005072","doi":"10.1038/s41598-020-60205-0","title":"Emergence of global synchronization in directed excitatory networks of type I neurons","year":2020,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Abdus Salam International Centre for Theoretical Physics","keywords":"Excitatory postsynaptic potential; Feed forward; Computer science; Topology (electrical circuits); Synchronization (alternating current); Neuroscience; Neuron; Inhibitory postsynaptic potential; Biological neural network; Stimulus (psychology); Synchronization networks; Mathematics; Biology; Combinatorics","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":[0.0002139704,0.0000708739,0.0001288506,0.00003897948,0.00005079578,0.00002066338,0.0001047936,0.00003339806,0.00008061458],"category_scores_gemma":[0.0009489168,0.00006813508,0.00003658274,0.001993656,0.000163917,0.000123083,0.00005909417,0.00006183438,0.000002400678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001278876,"about_ca_system_score_gemma":0.00008042328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001486716,"about_ca_topic_score_gemma":0.00001701539,"domain_scores_codex":[0.9986233,0.00006654494,0.0004168898,0.0004584643,0.0002919029,0.0001429007],"domain_scores_gemma":[0.999279,0.0000299204,0.0002837357,0.000246638,0.00009978101,0.00006093867],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003799015,0.0001041664,0.06122954,0.00005811025,0.000002319812,0.0001753206,0.0001429129,0.03039738,0.8995929,0.0006324521,0.004963116,0.002663815],"study_design_scores_gemma":[0.0002242492,0.0002447403,0.0649115,0.00007196811,0.00001736144,0.00006750419,0.00006140569,0.8631427,0.06678762,0.002917264,0.001260678,0.0002929686],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928223,0.00004500171,0.001089951,0.0001165383,0.0049435,0.0001663184,0.000003224533,0.00004498843,0.0007681598],"genre_scores_gemma":[0.9997965,0.000008749797,0.00003980305,0.00006337988,0.00002019637,0.000001572786,0.000006515232,0.000005421415,0.000057912],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8328053,"threshold_uncertainty_score":0.2778468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02306318630264121,"score_gpt":0.2492089690704551,"score_spread":0.2261457827678139,"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."}}