{"id":"W2132790336","doi":"10.1109/embc.2013.6610407","title":"Blind Deconvolution of Hodgkin-Huxley neuronal model","year":2013,"lang":"en","type":"article","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Biological neuron model; Deconvolution; Computer science; Robustness (evolution); Kalman filter; Algorithm; Neuron; Artificial intelligence; Neural coding; Blind deconvolution; Artificial neural network; Neuroscience","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":[0.0005792312,0.0003295194,0.0005122615,0.0002189837,0.0002860593,0.0003618085,0.0006146248,0.0007569704,0.0008021218],"category_scores_gemma":[0.001036651,0.0002110534,0.0003704987,0.000206162,0.0005099246,0.0007869525,0.0004850774,0.0005608514,0.0001903518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005291871,"about_ca_system_score_gemma":0.0008619185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005305729,"about_ca_topic_score_gemma":0.002876632,"domain_scores_codex":[0.9997975,0.00006086848,0.00001115103,0.0000535825,0.00005657649,0.00002021938],"domain_scores_gemma":[0.9997882,0.00009131659,0.00003071215,0.00003133582,0.00004847152,0.000009889712],"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":[0.0001050688,0.00003278687,0.0009147979,0.0001370603,0.00003757667,0.0001309676,0.0001489124,0.8960086,0.023098,0.04241396,0.0006106189,0.03636166],"study_design_scores_gemma":[0.000003839085,0.000009613335,0.0001086124,0.000002615283,0.000002517652,0.00002498446,0.000004705459,0.9924824,0.002057667,0.005088016,0.0002069075,0.000008096221],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03030506,0.0002196328,0.9674508,0.00009273231,0.00002222784,0.00002485066,0.00004313802,0.0002609527,0.001580632],"genre_scores_gemma":[0.7897409,0.0004770888,0.2052373,0.00007146712,0.00002314933,0.00009202633,0.00008606206,0.00004425424,0.004227722],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005305729,"threshold_uncertainty_score":0.01054972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0443773634228005,"score_gpt":0.2554286400184836,"score_spread":0.2110512765956832,"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."}}