Modeling brain dynamics using computational neurogenetic approach.
The paper introduces a novel computational approach to brain dynamics modeling that integrates dynamic gene-protein regulatory networks with a neural network model. Interaction of genes and proteins in neurons affects the dynamics of the whole neural network. Through tuning the gene-protein interaction network and the initial gene/protein expression values, different states of the neural network dynamics can be achieved. A generic computational neurogenetic model is introduced that implements this approach. It is illustrated by means of a simple neurogenetic model of a spiking neural network of the generation of local field potential. Our approach allows for investigation of how deleted or mutated genes can alter the dynamics of a model neural network. We conclude with the proposal how to extend this approach to model cognitive neurodynamics.
Benuskova
Lubica
L
Department of Computer Science, University of Otago, 90 Union Place East, Dunedin, 9016, New Zealand, lubica@cs.otago.ac.nz.
Kasabov
Nikola
N