{"id":"W2042543270","doi":"10.1523/jneurosci.1085-09.2009","title":"Computational Models of Millisecond Level Duration Tuning in Neural Circuits","year":2009,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; McMaster University; Ontario Innovation Trust","keywords":"Inferior colliculus; Neuroscience; Excitatory postsynaptic potential; Stimulus (psychology); Midbrain; Duration (music); Superior colliculus; Neurophysiology; Coincidence detection in neurobiology; Inhibitory postsynaptic potential; Neural coding; Brainstem; Psychology; Central nervous system; Physics; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003104262,0.00009748846,0.0001812851,0.0003148278,0.00008889283,0.0000547272,0.0003100717,0.00003012554,0.00000333087],"category_scores_gemma":[0.0005229198,0.0000848945,0.00007218335,0.0006215012,0.0001060971,0.001124468,0.00002176669,0.0002328769,5.303742e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003320169,"about_ca_system_score_gemma":0.00006695958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002195902,"about_ca_topic_score_gemma":0.00000142496,"domain_scores_codex":[0.9983661,0.00009246892,0.000601645,0.0002084489,0.0005482988,0.0001831099],"domain_scores_gemma":[0.9990448,0.0001576475,0.0005236198,0.00008862178,0.0001113196,0.00007403968],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001737227,0.00007146475,0.00019522,0.000003393377,1.418649e-7,0.00004250147,0.00007761394,0.2070818,0.786356,0.001096129,0.0000174387,0.00504093],"study_design_scores_gemma":[0.0004483189,0.0004995334,0.09238851,0.00003228881,0.000002780101,0.0004426815,0.00001709499,0.8817872,0.01575812,0.008509996,0.00001675613,0.00009671249],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864836,0.0000153418,0.01183403,0.0007682208,0.000559711,0.00007535151,0.000008889267,0.000005103602,0.0002497002],"genre_scores_gemma":[0.9981734,0.00001780257,0.0002009385,0.001527008,0.0000373176,2.972157e-7,3.453725e-7,0.000004728243,0.00003816046],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7705979,"threshold_uncertainty_score":0.3461897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09627416418320264,"score_gpt":0.2884161332418596,"score_spread":0.1921419690586569,"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."}}