Effect of Noise on the Dynamics of Neuronal Network

The structure of spatiotemporal pattern and the dynamical behavior of interspike timeinterval sequences of firings in a coupled noisy neuronal network are investigated. Various types of external stimuli have been used to exert on the network. The dynamics is modulated by animpulse-like synaptic current which is modeled as globally coupling interactions in the network. The peaks in the interspike interval histogram of spikes are located at integer multiples of the external period, which corresponds with experimental results.