Responsive neuromodulators based on artificial neural networks used to control seizure-like events in a computational model of epilepsy

International Journal of Neural Systems

Volumn 21, Issue 5, 2011, Pages 367-383

  Colic, Sinisa ^a   Zalay, Osbert C ^b   Bardakjian, Berj L ^a,b  

^a UNIVERSITY OF TORONTO   (Canada)

^b UNIVERSITY OF TORONTO   (Canada)

Author keywords

coupled network oscillator; Epilepsy; ictal; radial basis function; seizure like event; stimulator

Indexed keywords

EPILEPSY; ICTAL; RADIAL BASIS FUNCTIONS; SEIZURE-LIKE EVENT; STIMULATOR;

COMPUTATIONAL METHODS; MODULATION; NEURAL NETWORKS; NEUROSURGERY; TIME SERIES; WELL STIMULATION;

RADIAL BASIS FUNCTION NETWORKS;

AGENTS INTERACTING WITH TRANSMITTER, HORMONE OR DRUG RECEPTORS; MAGNESIUM; POTASSIUM;

ACTION POTENTIAL; ANIMAL; ARTICLE; ARTIFICIAL NEURAL NETWORK; BRAIN DEPTH STIMULATION; COMPUTER SIMULATION; EPILEPSY; HIPPOCAMPUS; HUMAN; MALE; METABOLISM; PATHOPHYSIOLOGY; PHYSIOLOGY; RAT; RECEIVER OPERATING CHARACTERISTIC; SEIZURE; WISTAR RAT;

ACTION POTENTIALS; ANIMALS; COMPUTER SIMULATION; DEEP BRAIN STIMULATION; EPILEPSY; HIPPOCAMPUS; HUMANS; MAGNESIUM; MALE; NEURAL NETWORKS (COMPUTER); NEUROTRANSMITTER AGENTS; POTASSIUM; RATS; RATS, WISTAR; ROC CURVE; SEIZURES;

EID: 80053354397     PISSN: 01290657     EISSN: None     Source Type: Journal    
DOI: 10.1142/S0129065711002894     Document Type: Article

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