Self-Organization Of Clusters Having Locally Distributed Patterns For Highly Synchronized Inputs

Toshio Akimitsu, Yoichi Okabe, Akira Hirose
2007 Zenodo  
Many experimental results suggest that more precise spike timing is significant in neural information processing. We construct a self-organization model using the spatiotemporal pat-terns, where Spike-Timing Dependent Plasticity (STDP) tunes the conduction delays between neurons. We show that, for highly syn-chronized inputs, the fluctuation of conduction delays causes globally continuous and locally distributed firing patterns through the self-organization.
doi:10.5281/zenodo.1056405 fatcat:a2l27zde5ndahj2ibeqisjvinu