Self-organization through spike-timing dependent plasticity using localized synfire-chain patterns

  • Authors:

  • Toshio Akimitsu;Akira Hirose;Yoichi Okabe

  • Affiliations:

  • Department of Electronics Engineering, The University of Tokyo, Tokyo, Japan;Department of Electronics Engineering, The University of Tokyo, Tokyo, Japan;The University of the Air, Chiba City, Chiba, Japan

  • Venue:
  • ICONIP'06 Proceedings of the 13 international conference on Neural Information Processing - Volume Part I
  • Year:
  • 2006

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Abstract

Many experimental results suggest that more precise spike timing is significant in neural information processing. From this point of view, we construct a self-organization model using the spatiotemporal patterns, where Spike-Timing Dependent Plasticity (STDP) tunes the conduction delays between neurons. STDP forms more smoothed map with the spatially random and dispersed patterns, whereas it causes spatially distributed clustering patterns from spatially continuous and synchronous inputs. These results suggest that STDP forms highly synchronous cell assemblies changing through external stimuli to solve a binding problem.