Modeling brain dynamics using computational neurogenetic approach.
Ontology highlight
ABSTRACT: 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.
SUBMITTER: Benuskova L
PROVIDER: S-EPMC2585617 | biostudies-other | 2008 Dec
REPOSITORIES: biostudies-other
ACCESS DATA