Duality of rate coding and temporal coding in multilayered feedforward networks

Naoki Masuda*, Kazuyuki Aihara

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

40 Citations (Scopus)

Abstract

A functional role for precise spike timing has been proposed as an alternative hypothesis to rate coding. We show in this article that both the synchronous firing code and the population rate code can be used dually in a common framework of a single neural network model. Furthermore, these two coding mechanisms are bridged continuously by several modulatable model parameters, including shared connectivity, feedback strength, membrane leak rate, and neuron heterogeneity. The rates of change of these parameters are closely related to the response time and the timescale of learning.

Original languageEnglish
Pages (from-to)103-125
Number of pages23
JournalNeural Computation
Volume15
Issue number1
DOIs
Publication statusPublished - 2003 Jan
Externally publishedYes

ASJC Scopus subject areas

  • Arts and Humanities (miscellaneous)
  • Cognitive Neuroscience

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