Firing pattern of default mode brain network with spiking neuron model

Abstract

Recently, analyses of fMRI data have revealed functionally connected and interacting spontaneous active regions in the brain, which are referred as "Default Mode Brain Network". The fluctuations on BOLD signals of the default mode brain network have shown spatiotemporally correlated synchronization at a rate lower than 0.1 Hz in contrast to signals under concrete tasks like high frequency rhythms. Here we construct the default mode brain network by functionally connecting a neural network using functional correlation factors. For numerical simulations with Izhikevich's spiking neuron model, the condition on the slow synchronization of this network model is fixed, and the network dynamics is analyzed. © 2012 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering.