@inproceedings{c59348b1a38747b5b108cd943daa3442,

title = "Optimal parameter estimation of the Izhikevich single neuron model using experimental Inter-Spike Interval (ISI) data",

abstract = "We propose to use the Izhikevich single neuron model to represent a motor cortex neuron for studying a control-theoretic perspective of a neuroprosthetic system. The problem of estimating model parameters is addressed when the only available data from intracortical recordings of a neuron are the Inter-Spike Intervals (ISIs). Non-linear constrained and unconstrained optimization problems are formulated to estimate model parameters as well as synaptic inputs using ISIs data. The primal-dual interior-point method is implemented to solve the constrained optimization problem. Reasonable model parameters are estimated by solving these optimization problems which may serve as a template for studying and developing a model of ensemble cortical neurons for neuroprosthesis applications.",

author = "Gautam Kumar and Vikram Aggarwal and Thakor, {Nitish V.} and Schieber, {Marc H.} and Kothare, {Mayuresh V.}",

year = "2010",

month = oct,

day = "15",

language = "English (US)",

isbn = "9781424474264",

series = "Proceedings of the 2010 American Control Conference, ACC 2010",

pages = "3586--3591",

booktitle = "Proceedings of the 2010 American Control Conference, ACC 2010",

note = "2010 American Control Conference, ACC 2010 ; Conference date: 30-06-2010 Through 02-07-2010",

}