An adaptive spike-timing-dependent plasticity rule

Jesper Tegner*, Ádám Kepecs

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

We examine the conditions under which spike-timing-dependent plasticity (STDP) normalizes post-synaptic firing rates. Our simulations show that the rate normalization property of STDP is fragile and small changes in the LTD/LTP ratio or pre-synaptic input rates can lead to high firing rates. We propose an adaptive scheme to dynamically control the LTP/LTD ratio. The biophysics of synapses lead us to suggest a control mechanism using action potential-induced calcium influx, a known mediator of synaptic plasticity. This adaptive STDP rule is shown to stabilize the post-synaptic firing rates under a variety of perturbations.

Original languageEnglish (US)
Pages (from-to)189-194
Number of pages6
JournalNeurocomputing
Volume44-46
DOIs
StatePublished - Jul 27 2002

Keywords

  • Hebbian
  • Homeostatic mechanisms
  • Learning
  • Spike correlations

ASJC Scopus subject areas

  • Computer Science Applications
  • Cognitive Neuroscience
  • Artificial Intelligence

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