Optimal parameter estimation of the Izhikevich single neuron model using experimental inter-spike interval (ISI) data

G Kumar, V Aggarwal, N V Thakor, M H Schieber, M V Kothare
2010 Proceedings of the 2010 American Control Conference  
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
more » ... or-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.
doi:10.1109/acc.2010.5530803 fatcat:vdodt66ukrdhtlhgb5esqgmr3m