Analyses of default mode network in the brain based on spiking neuron models

The individual neurons encode information as spiking trains. But the spiking trains all together also reveal synchronizations like alpha (~ 10 Hz) and gamma (~ 40 Hz) rhythms. These high frequency rhythms, in contrast to those of low frequency observed from fMRI on the resting state of the brain, are measured on the external environment with explicit tasks. Analyses of fMRI data have revealed functionally connected and interacting spontaneous active regions in the brain, which are referred as “Default Mode Network”. Here we construct the default mode network using Izhikevich´s spiking neuron model, and investigate the behavior of firing rates of the neurons.