Publication

Abstract : Brain being the most complex organ in our body, its analysis and functional modelling has always fascinated the scientific community. In this paper, the neuronal behavior of a set of four neurons connected linearly and mutually have been modelled and analyzed to understand the data processing in the brain. The Hodgkin-Huxley neuronal model have been used as the basis in which neurons are connected with sequential and no self-coupling as well as bi-directional coupling with feedforward and inhibitory feedback connections. Later this model is extended to form a large biophysical neuronal network in MATLAB, where-in various probability distributions like normal, uniform and poisson are used to model the coupling coefficients with the intention of identifying the distributions best suited for the neural mass.