{"id":"W2133247674","doi":"10.1142/s0129065712500335","title":"PHASE SYNCHRONIZATION OF NEURONAL NOISE IN MOUSE HIPPOCAMPAL EPILEPTIFORM DYNAMICS","year":2012,"lang":"en","type":"article","venue":"International Journal of Neural Systems","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Western Hospital; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Neurosurgery Research and Education Foundation","keywords":"Ictal; Neuroscience; Hippocampal formation; Synchronization (alternating current); Noise (video); Epilepsy; Hippocampus; Electroencephalography; Coupling (piping); Theta rhythm; Phase synchronization; Beta Rhythm; Physics; Computer science; Biology; Phase (matter); Artificial intelligence; Materials science; Telecommunications","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":[0.0001618596,0.0001686724,0.000186024,0.0003410612,0.00007762112,0.0001497101,0.0001738742,0.0001521754,0.0003983982],"category_scores_gemma":[0.0005217984,0.0001108471,0.0001304768,0.0001880377,0.0002315146,0.0002133234,0.0001713221,0.0002168593,0.00008422174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001564122,"about_ca_system_score_gemma":0.00008008495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002627423,"about_ca_topic_score_gemma":0.0004803421,"domain_scores_codex":[0.9999075,0.00001389422,0.000007568494,0.00002677089,0.00003100867,0.00001328581],"domain_scores_gemma":[0.9998382,0.00004783077,0.00005737854,0.00001675037,0.00001883114,0.00002098863],"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":[0.0001001948,0.000009964852,0.001322894,0.00002202724,0.000005360593,0.00004199242,0.00002718227,0.0003200654,0.9961875,0.0001398792,0.00001282137,0.001810065],"study_design_scores_gemma":[0.00002728396,0.0006512429,0.126337,0.00002241597,0.00004931727,0.0005081844,0.0000951017,0.01479946,0.8558946,0.0009576344,0.0006396659,0.00001811202],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894876,0.0001890366,0.009673757,0.00001670085,0.000005243776,0.00001203309,0.0001155844,0.00004771142,0.0004524043],"genre_scores_gemma":[0.9961378,0.0001543347,0.003207226,0.00001416277,0.000004286114,0.00003686557,0.0001331546,0.00001913064,0.0002930431],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0003983982,"threshold_uncertainty_score":0.00133276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02627439215960184,"score_gpt":0.2909446073864743,"score_spread":0.2646702152268725,"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."}}