{"id":"W2020342258","doi":"10.1007/s00422-006-0115-3","title":"A Markov model for interspike interval distributions of auditory cortical neurons that do not show periodic firings","year":2006,"lang":"en","type":"article","venue":"Biological Cybernetics","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Interval (graph theory); Markov chain; Auditory cortex; Markov process; Cortical neurons; Mathematics; Neuroscience; Statistical physics; Psychology; Statistics; Physics; Combinatorics","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":[0.002211719,0.0008632171,0.001559289,0.001348938,0.0007148491,0.001655726,0.003012372,0.002178078,0.004537803],"category_scores_gemma":[0.008662749,0.001014682,0.001463529,0.001057539,0.001590472,0.002624575,0.0009927625,0.002053132,0.0008778977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002018563,"about_ca_system_score_gemma":0.001402285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01537266,"about_ca_topic_score_gemma":0.01100079,"domain_scores_codex":[0.9993266,0.0001316759,0.0000349219,0.0001951848,0.0001226158,0.0001891281],"domain_scores_gemma":[0.993856,0.004342373,0.000597137,0.0003967757,0.0005313331,0.000276355],"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":[0.0003090975,0.00007313854,0.003315038,0.0000883606,0.0001139619,0.0003555448,0.000230448,0.8173237,0.00502746,0.1647994,0.001481735,0.00688216],"study_design_scores_gemma":[0.00002389249,0.00002322837,0.0005997721,0.00001162236,0.00001971212,0.00005931685,0.00001243043,0.9689424,0.0002666425,0.02984886,0.0001700665,0.00002210969],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.288169,0.000713605,0.7010936,0.00167881,0.0001477746,0.0001349536,0.00168791,0.0006106637,0.005763687],"genre_scores_gemma":[0.978308,0.0005453124,0.01174828,0.0002204529,0.0001046896,0.0001817879,0.0008572483,0.0001201352,0.007914034],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01537266,"threshold_uncertainty_score":0.03056639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05395822397629126,"score_gpt":0.2641973130132405,"score_spread":0.2102390890369492,"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."}}