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