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

Authors

  • Ankush Rai Department of Applied Science, CRIAD Laboratories, Smiriti Nagar, Bhilai 490020, India

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

 

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Published

2014-09-12

Issue

Vol. 3 No. 2 (2014)

Section

Research/Review Articles

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