HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS		QUICK SEARCH:   [advanced] Author: Keyword(s): Year:  Vol:  Page:

This Article Full Text Full Text (PDF) Alert me when this article is cited Alert me if a correction is posted Services Similar articles in this journal Similar articles in PubMed Alert me to new issues of the journal Download to citation manager Citing Articles Citing Articles via HighWire Citing Articles via Google Scholar Google Scholar Articles by Masuda, N. Articles by Aihara, K. Search for Related Content PubMed PubMed Citation Articles by Masuda, N. Articles by Aihara, K.

Self-Organizing Dual Coding Based on Spike-Time-Dependent Plasticity

masuda{at}sat.t.u-tokyo.ac.jp, Department of Complexity Science and Engineering, Graduate School of Frontier Sciences, University of Tokyo, Tokyo, Japan

Kazuyuki Aihara

aihara{at}sat.t.u-tokyo.ac.jp, Department of Complexity Science and Engineering, Graduate School of Frontier Sciences, University of Tokyo, Tokyo, Japan

It has been a matter of debate how firing rates or spatiotemporal spike patterns carry information in the brain. Recent experimental and theoretical work in part showed that these codes, especially a population rate code and a synchronous code, can be dually used in a single architecture. However, we are not yet able to relate the role of firing rates and synchrony to the spatiotemporal structure of inputs and the architecture of neural networks. In this article, we examine how feedforward neural networks encode multiple input sources in the firing patterns. We apply spike-time-dependent plasticity as a fundamental mechanism to yield synaptic competition and the associated input filtering. We use the Fokker-Planck formalism to analyze the mechanism for synaptic competition in the case of multiple inputs, which underlies the formation of functional clusters in downstream layers in a self-organizing manner. Depending on the types of feedback coupling and shared connectivity, clusters are independently engaged in population rate coding or synchronous coding, or they interact to serve as input filters. Classes of dual codings and functional roles of spike-time-dependent plasticity are also discussed.

This article has been cited by other articles:

				K. Sakamoto, H. Mushiake, N. Saito, K. Aihara, M. Yano, and J. Tanji Discharge Synchrony during the Transition of Behavioral Goal Representations Encoded by Discharge Rates of Prefrontal Neurons Cereb Cortex, September 1, 2008; 18(9): 2036 - 2045. [Abstract] [Full Text] [PDF]

				R. Hosaka, O. Araki, and T. Ikeguchi STDP Provides the Substrate for Igniting Synfire Chains by Spatiotemporal Input Patterns Neural Comput., February 1, 2008; 20(2): 415 - 435. [Abstract] [Full Text] [PDF]