Title :
Nonlinear system identification of the thalamocortical circuit in response to thalamic microstimulation
Author :
Millard, D.C. ; Qi Wang ; Stanley, G.B.
Author_Institution :
Biomed. Eng. Dept., Georgia Inst. of Technol., Atlanta, GA, USA
fDate :
April 27 2011-May 1 2011
Abstract :
Sensory neural prostheses aim to restore lost sensory function by using electrical stimulation to deliver information about the external sensory environment. However, current electrical stimulation techniques suffer from a lack of stimulation specificity on a single electrode and complicated neural interactions from stimulation across multiple electrodes. Here we present the construction and validation of a single-input, single-output nonlinear model of the downstream cortical activity in response to thalamic microstimulation for use in improving current electrical stimulation techniques.
Keywords :
bioelectric potentials; biomedical electrodes; brain; neurophysiology; nonlinear systems; prosthetics; cortical activity; electrical stimulation; multiple electrodes; nonlinear system identification; sensory neural prostheses; single electrode; thalamic microstimulation; thalamocortical circuit; Brain modeling; Electrical stimulation; Electrodes; Estimation; Imaging; Kernel; Predictive models;
Conference_Titel :
Neural Engineering (NER), 2011 5th International IEEE/EMBS Conference on
Conference_Location :
Cancun
Print_ISBN :
978-1-4244-4140-2
DOI :
10.1109/NER.2011.5910475