{"id":"W2884876249","doi":"10.1152/jn.00068.2018","title":"Motoneuron output regulated by ionic channels: a modeling study of motoneuron frequency-current relationships during fictive locomotion","year":2018,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"East China Normal University; National Natural Science Foundation of China","keywords":"Afterhyperpolarization; Chemistry; Neuroscience; Membrane potential; Electrophysiology; Hyperpolarization (physics); Excitatory postsynaptic potential; Downregulation and upregulation; Sodium channel; Inhibitory postsynaptic potential; Potassium channel; Biophysics; Rheobase; Conductance; Sodium; Biology; Physics; Biochemistry","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":[0.00008939041,0.0002844377,0.0002955536,0.000197268,0.0002636472,0.0002647293,0.0005111646,0.0007359297,0.0007063514],"category_scores_gemma":[0.0002262421,0.0001879176,0.0004597327,0.0001250096,0.0002499188,0.0003397475,0.0001784703,0.0002462227,0.0001020595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005306163,"about_ca_system_score_gemma":0.0004067665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01066502,"about_ca_topic_score_gemma":0.007103605,"domain_scores_codex":[0.9999715,0.000005852,0.000001726061,0.000007581347,0.000006340182,0.000007056841],"domain_scores_gemma":[0.9999247,0.00002778796,0.00001668338,0.000006226392,0.00001623278,0.000008389857],"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":[0.0000941332,0.00005064954,0.003413826,0.0001006989,0.00003366838,0.0003673384,0.0001468957,0.9272465,0.0637558,0.002309196,0.0001317315,0.002349609],"study_design_scores_gemma":[0.000006027748,0.00003181594,0.0008722705,0.000002976723,0.00001189453,0.00002882237,0.00001212513,0.9972956,0.001425287,0.000180236,0.0001287875,0.000004154966],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9710202,0.0001725022,0.02419962,0.0001075211,0.00000633033,0.00002671115,0.0001404328,0.00008898132,0.004237595],"genre_scores_gemma":[0.9978492,0.00008350366,0.001293121,0.000006972373,0.000001765912,0.00002594833,0.00003335014,0.000007659764,0.0006985205],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01066502,"threshold_uncertainty_score":0.0212059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03056471924005171,"score_gpt":0.2419862460364124,"score_spread":0.2114215267963606,"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."}}