抄録
The brain is recognized as a very large-scale network system in which the basic element is a neuron. It is well known that there is intercommunication among the different areas of the brain. However, till date, the rules of communication in the brain have not been successfully analyzed. Create a simulation program of the spike, and elucidate the mechanism of learning neural network from the propagation of the spike. To investigate this mechanism, we did simulation for typically 9x9 2D mesh arrayed neuron network with Hebbian leaning. In this paper we provide simulation results that help to analyze behavior of spikes on simulated neural network. It is possible to confirm that the behavior of the network is changed by changing the time and place of the stimulation.
