Modeling Effects of Noise on Dynamics of Hodgkin Huxley Style Neuronal Model
Thakshila Madushani Herath (Georgia State University)
Co-authors: Vadym Apalkov (Georgia State University), Gennady Cymbalyuk (Georgia State University), Neranjan Edirisinghe (Georgia State University)
Noise plays important roles in the nervous system. It enhances detection of weak signals and processing of information. Performance of the neuronal model changes with the noise level; at critical noise level, the system could exhibit stochastic resonance and the performance of the model could reach its maximum . We consider a generic neuronal model derived as a set of nonlinear differential equations following the Hodgkin Huxley formalism . In this study, we investigate numerical efficiency of different performance optimization techniques applied to the neuronal model with white noise introduced as a random force.