{"id":"W2464901181","doi":"10.1109/tnsre.2016.2586659","title":"A Model for Single Neuron Activity With Refractory Effects and Spike Rate Estimation Techniques","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Neural Systems and Rehabilitation Engineering","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Institute of Mental Health; National Institutes of Health","keywords":"Estimator; Point process; Spike (software development); Spike train; Poisson distribution; Computer science; Refractory period; Mathematics; Algorithm; Statistics","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":[0.001759779,0.0007714652,0.001110713,0.0006702186,0.0002944547,0.0009696,0.002401041,0.001561121,0.002443078],"category_scores_gemma":[0.004335086,0.0006720594,0.001345264,0.001012637,0.0008094466,0.001510538,0.0007545857,0.001924597,0.00100442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007594607,"about_ca_system_score_gemma":0.0009564397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003159289,"about_ca_topic_score_gemma":0.002324139,"domain_scores_codex":[0.999355,0.0001828763,0.0000432437,0.0001686144,0.0001980165,0.0000522184],"domain_scores_gemma":[0.9987957,0.0007180877,0.0001853717,0.0001230463,0.0001346281,0.00004299094],"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":[0.00008087936,0.00004406511,0.0006249542,0.0001352373,0.00006580753,0.000192772,0.0001155633,0.8869284,0.009148272,0.07679567,0.0006904128,0.02517794],"study_design_scores_gemma":[0.000005426356,0.00002192008,0.0001544807,0.000006625881,0.00001012039,0.00005243326,0.000003591842,0.9875328,0.0004423259,0.0113013,0.0004577684,0.00001119456],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004625669,0.0001492218,0.9942157,0.00009787773,0.00001086207,0.00002453009,0.00007695534,0.0001036373,0.0006956325],"genre_scores_gemma":[0.5523835,0.001613597,0.4277528,0.0002114668,0.0001720609,0.0007596615,0.0005954345,0.0002332738,0.01627823],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003159289,"threshold_uncertainty_score":0.009306729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01362548787118402,"score_gpt":0.2220313488237473,"score_spread":0.2084058609525632,"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."}}