{"id":"W1987023182","doi":"10.1186/1471-2202-15-s1-p222","title":"Local and long-range phase-amplitude coupling in a cortical spiking network model","year":2014,"lang":"en","type":"article","venue":"BMC Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"","keywords":"Bursting; Coupling (piping); Neocortex; Population; Neuroscience; Physics; Interneuron; Oscillation (cell signaling); Limit cycle; Spiking neural network; Synchronization (alternating current); Biological neural network; Amplitude; Biological system; Computer science; Artificial neural network; Artificial intelligence; Biology; Inhibitory postsynaptic potential; Telecommunications; Materials science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004136993,0.000835306,0.0008340616,0.0006142459,0.0005558109,0.001163433,0.001769016,0.001856206,0.003274453],"category_scores_gemma":[0.001214553,0.0004052949,0.0005624228,0.0007966973,0.001250171,0.001207303,0.001057218,0.001001036,0.0004916284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001186617,"about_ca_system_score_gemma":0.0008762455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01029174,"about_ca_topic_score_gemma":0.007314122,"domain_scores_codex":[0.9998118,0.00006100935,0.000007209698,0.00005692845,0.0000376507,0.00002546231],"domain_scores_gemma":[0.9995899,0.0001765097,0.00008572183,0.00001909283,0.00006104184,0.0000678034],"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":[0.00004692112,0.00003087179,0.0006854784,0.00004361075,0.00002709385,0.0002337451,0.0000751054,0.9601788,0.002015122,0.03425386,0.0005448253,0.001864566],"study_design_scores_gemma":[0.000008254606,0.000008726628,0.0001049607,0.000003025721,0.000004883836,0.00001895396,0.000007654537,0.9937676,0.0000391266,0.005909801,0.0001229002,0.000004051275],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3136211,0.001689606,0.6325091,0.003153439,0.0001272834,0.0001379169,0.00166355,0.0006109491,0.04648707],"genre_scores_gemma":[0.9711388,0.0006772535,0.01352891,0.0001419139,0.00005867524,0.0002424565,0.000277175,0.00006201361,0.01387273],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01029174,"threshold_uncertainty_score":0.02046371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06082203569669688,"score_gpt":0.2985207737796886,"score_spread":0.2376987380829917,"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."}}