STDP enhances frequency synchrony in neural networks with a pacemaker

Naoki Masuda, Hiroshi Kori

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Spike-timing-dependent plasticity (STDP) is a general rule of synaptic plasticity based on precise spike timings. The common form of STDP strengthens synaptic weights most when a presynaptic spike time precedes a postsynaptic spike time by a small amount of time. Even though various neural computations can be implemented by STDP, the relation between STDP and synchronous firing remains elusive. With synchrony kept in mind, here we analyze neural networks driven by a pacemaker in the oscillatory scheme. We show that STDP promotes formation of a feedforward network whose root is the pacemaker. Neurons fire slightly after the pacemaker does, and therefore frequency synchrony is achieved. Remarkably, the synaptic weights necessary for frequency synchrony are much smaller with STDP than without STDP.

Original languageEnglish
Title of host publicationThe 2007 International Joint Conference on Neural Networks, IJCNN 2007 Conference Proceedings
Pages96-101
Number of pages6
DOIs
Publication statusPublished - 2007
Externally publishedYes
Event2007 International Joint Conference on Neural Networks, IJCNN 2007 - Orlando, FL, United States
Duration: 2007 Aug 122007 Aug 17

Publication series

NameIEEE International Conference on Neural Networks - Conference Proceedings
ISSN (Print)1098-7576

Conference

Conference2007 International Joint Conference on Neural Networks, IJCNN 2007
Country/TerritoryUnited States
CityOrlando, FL
Period07/8/1207/8/17

ASJC Scopus subject areas

  • Software

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