Computing with active dendrites

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

This paper introduces a new model of a spiking neuron with active dendrites and dynamic synapses (ADDS). The neuron employs the dynamics of the synapses and the active properties of the dendrites as an adaptive mechanism for maximising its response to a specific spatio-temporal distribution of incoming action potentials.

The paper also presents a new spike-timing-dependent plasticity (STDP) algorithm developed for the ADDS neuron. This algorithm follows recent biological evidence on synaptic plasticity, and goes beyond the current computational approaches which are based only on the relative timing between single pre- and post-synaptic spikes and implements a functional dependence based on the state of the dendritic and somatic membrane potentials at the time of the post-synaptic spike.
Original languageEnglish
Pages (from-to)1702-1705
Number of pages4
JournalNeurocomputing
Volume70
Issue number10-12
Early online date15 Nov 2006
DOIs
Publication statusPublished - Jun 2007
Externally publishedYes

Keywords

  • Active dendrites
  • Spiking neurones
  • Spike-timing-dependent plasticity (STDP)
  • Competitive learning
  • Self-organisation

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