{"id":"W1965890900","doi":"10.1103/physreve.78.021911","title":"Driving neural oscillations with correlated spatial input and topographic feedback","year":2008,"lang":"en","type":"article","venue":"Physical Review E","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Coupling (piping); Physics; Statistical physics; Spectral density; Negative feedback; Noise (video); Range (aeronautics); Spatial correlation; Control theory (sociology); Computer science; Mathematics; Biological system; Quantum mechanics; Voltage; Telecommunications; Materials science; Artificial intelligence","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":[0.0001563578,0.0004298384,0.0002360638,0.0001578964,0.0001260981,0.0003083998,0.0004215882,0.0004888787,0.0004183035],"category_scores_gemma":[0.00129711,0.0001553244,0.0002698273,0.0002086011,0.0005059434,0.0004915124,0.0003202494,0.0002236789,0.00009315908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000344107,"about_ca_system_score_gemma":0.0001775089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001674211,"about_ca_topic_score_gemma":0.001303594,"domain_scores_codex":[0.9999262,0.00002239284,0.000002564286,0.00001452737,0.00002116184,0.00001302309],"domain_scores_gemma":[0.9997464,0.000123556,0.00006426395,0.00001751452,0.00002866698,0.00001954042],"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":[0.00008468497,0.00004220153,0.001797356,0.00007869027,0.00005387845,0.000821993,0.00008960583,0.8825232,0.05493168,0.05197217,0.0003169254,0.007287672],"study_design_scores_gemma":[0.000008852203,0.00003006179,0.0004378984,0.000002069967,0.00001033275,0.000046201,0.000007927537,0.9900522,0.001232682,0.008037881,0.0001280201,0.000005914743],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8143653,0.0004400427,0.1788313,0.0003752934,0.00003545748,0.00002116641,0.00005311966,0.0001030275,0.005775248],"genre_scores_gemma":[0.9956299,0.0002140999,0.003370399,0.00002179388,0.0000201003,0.00001141831,0.00001236984,0.000006135181,0.0007138986],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001674211,"threshold_uncertainty_score":0.003328979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02414860684139844,"score_gpt":0.2596718719728981,"score_spread":0.2355232651314997,"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."}}