{"id":"W2072473279","doi":"10.1142/s0129065711002894","title":"RESPONSIVE NEUROMODULATORS BASED ON ARTIFICIAL NEURAL NETWORKS USED TO CONTROL SEIZURE-LIKE EVENTS IN A COMPUTATIONAL MODEL OF EPILEPSY","year":2011,"lang":"en","type":"article","venue":"International Journal of Neural Systems","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; McMaster University","keywords":"Neuromodulation; Ictal; Deep brain stimulation; Epilepsy; Neuroscience; Hippocampal formation; Computer science; Artificial neural network; Modulation (music); Electroencephalography; Stimulation; Artificial intelligence; Medicine; Psychology; Physics; Internal medicine; Parkinson's disease","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":[0.000178325,0.0003394723,0.0002557805,0.0001428712,0.0001126847,0.0002303345,0.0004468351,0.0004147876,0.0004794556],"category_scores_gemma":[0.0004645069,0.0001348263,0.0003099254,0.0001124059,0.0003218821,0.0002429267,0.0002261519,0.0003031684,0.00005721689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002515971,"about_ca_system_score_gemma":0.0002080596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001720168,"about_ca_topic_score_gemma":0.001710602,"domain_scores_codex":[0.9999363,0.00002357891,0.000003414559,0.000009742277,0.00001888891,0.000008001285],"domain_scores_gemma":[0.9998939,0.00005275536,0.00002345371,0.00001009741,0.00001422324,0.000005557797],"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":[0.00005293286,0.00002712006,0.0002625051,0.00003591303,0.00001977953,0.0000708624,0.00002841139,0.9775311,0.01400911,0.003406299,0.00008144794,0.004474488],"study_design_scores_gemma":[0.000004319314,0.00003338973,0.00007260571,0.000001358192,0.00000357507,0.000009188184,0.000002140088,0.9978158,0.001578123,0.0003911844,0.00008600789,0.000002177458],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6076694,0.0003509079,0.3838013,0.0003157257,0.00006153808,0.00008732747,0.00007983595,0.000341733,0.007292125],"genre_scores_gemma":[0.9804322,0.0001037129,0.01847591,0.00002091015,0.000003760606,0.00004896056,0.00001730171,0.000008376627,0.0008889703],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001720168,"threshold_uncertainty_score":0.003420353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07158444133523344,"score_gpt":0.2971408655060035,"score_spread":0.2255564241707701,"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."}}