The Computational Model to Simulate the Progress of Perceiving Patterns in Neuron Population

Abstract

We set out here, in an effort to extend the capacities of recent neurobiological evidence and theories, to propose a computational framework, which gradually accumulates and focuses transited energy as a distribution of incitation in the cortex by means of the interaction and communication between nerve cells within different attributes. In our attempts to simulate the human neural system, we found a reproduction of the corresponding perception pattern from that which is sensed by the brain. The model successfully projects a high-dimensional signal sequence as a lower-dimensional unique pattern, while also indicating the significant active role of nerve cell bodies in the central processing of neural network, rather than a merely passive nonlinear function for input and output.