Estimation of parameters using evolutionary algorithm in Hodgkin-Huxley model

Computation in neuron model plays a significant role in estimation of various parameters. In this paper, various parameters involved in Hodgkin-Huxley type model are estimated which were not explored earlier using evolutionary algorithm. Genetic algorithm is used to estimate the various parameter values associated with the activity of neuron and found to be better than other existing methods described in the paper. Estimation of parameter values is important for proper modeling of neuron that has importance in neurology for studying the receptor functions and electrical activity of membrane. Parameter values are estimated and compared with Hodgkin-Huxley's data.