Computational Modeling Study of Synfire Chains from Multiple Plasticity Mechanisms for Model Development at Neural Level: Introducing an Evolving Digital Micro-Brain

Abstract

In a biological specimen with evolved brain the interconnected neural networks by plasticity mechanisms bring out intelligence, consciousness, and emotions by a collective firing of a sets of neurons operating at different time delays and oscillations. Therefore, the nature of our study is to computationally test a mathematical model to mimic neurological events in general and provides a theoretical and experimental framework that links neural function to model-based learning and theory of cognitive control; which in turn will bridge the junction of biology and computer science. This will allow us to sculpt such neural networks into effective data processor.

Keywords: synfire chain, recurrent neural network, self-organization network, spike-timing-dependent plasticity