Summary
International Symposium on Nonlinear Theory and its Applications
2009
Session Number:C2L-A
Session:
Number:C2L-A3
Temporal evolution of spatial structures in neural networks through STDP
Hideyuki Kato, Tohru Ikeguchi,
pp.-
Publication Date:2009/10/18
Online ISSN:2188-5079
Summary:
Spike-timing-dependent plasticity (STDP) has been experimentally observed in several areas of the brain and theoretically analyzed in model studies. In particular, temporal development and equilibrium states of synaptic distributions have been enthusiastically analyzed. Although these analyses are important to understand mechanisms of STDP in neural networks, it has not been yet fully clarified what kind of spatial structures STDP organizes. In this paper, analyzing spatial structures in neural networks developed through STDP, we investigated effects of such structures for neuronal activities. As a result, depending on the mean inter-spike interval (ISI) of external inputs, STDP generates different network structures. Furthermore, neuronal activities in the network also change as the mean ISI of external inputs varies.