{"id":"W2525011180","doi":"10.1371/journal.pone.0161488","title":"Dynamic Control of Synchronous Activity in Networks of Spiking Neurons","year":2016,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; University of Toronto","funders":"","keywords":"Neuroscience; Noise (video); Local field potential; Control theory (sociology); Mechanism (biology); Physics; Network dynamics; Computer science; Biological system; Biology; Control (management); Mathematics; Artificial intelligence","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":[0.0000966224,0.00007723578,0.0002159101,0.00007588397,0.00002131727,0.000004347168,0.0001177037,0.00004132606,0.00001782648],"category_scores_gemma":[0.0002979822,0.00005801126,0.0000385415,0.0001667415,0.00008301865,0.0001106351,0.0000347402,0.00009140154,0.000003015492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003541567,"about_ca_system_score_gemma":0.00001520403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001914757,"about_ca_topic_score_gemma":0.00003625883,"domain_scores_codex":[0.9991782,0.00008742174,0.0001768811,0.0002076114,0.0001758435,0.0001740916],"domain_scores_gemma":[0.9991935,0.0004212577,0.00014645,0.0001880894,0.00002214758,0.00002857843],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00008077383,0.0005353357,0.003770725,0.000027017,0.000005486768,0.000004214913,0.00000682748,0.0002583514,0.9899113,0.0002160279,6.42059e-7,0.005183325],"study_design_scores_gemma":[0.001512608,0.000490988,0.0893607,0.0003542456,0.0000389212,0.00000267328,0.000001852963,0.3974036,0.5102878,0.0003793243,0.000003820181,0.0001634632],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936976,0.000009959509,0.005479803,0.0003084132,0.00007043174,0.0001996679,0.00001723579,0.00001943945,0.0001974609],"genre_scores_gemma":[0.99974,0.00005186791,0.00003264375,0.00007339093,0.00001327461,0.000007413294,2.144055e-7,0.0000110774,0.00007010469],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4796235,"threshold_uncertainty_score":0.2365631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02593241155092313,"score_gpt":0.2199547318536693,"score_spread":0.1940223203027462,"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."}}