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Does morphology influence temporal plasticity?

  • David C. Sterratt
  • , Arjen van Ooyen
  • University of Edinburgh
  • Netherlands Institute for Neuroscience

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

Applying bounded weight-independent temporal plasticity rule to synapses from independent Poisson firing presynaptic neurons onto a conductance-based integrate-and-fire neuron leads to a bimodal distribution of synaptic strength (Song et al., 2000). We extend this model to investigate the effects of spreading the synapses over the dendritic tree. The results suggest that distal synapses tend to lose out to proximal ones in the competition for synaptic strength. Against expectations, versions of the plasticity rule with a smoother transition between potentiation and depression make little difference to the distribution or lead to all synapses losing. © Springer-Verlag Berlin Heidelberg 2002.
Original languageEnglish
Title of host publicationArtificial Neural Networks, ICANN 2002 - International Conference, Proceedings
PublisherSpringer Verlag
Pages186-191
Volume2415 LNCS
ISBN (Print)9783540440741
DOIs
Publication statusPublished - 2002
Externally publishedYes
Event2002 International Conference on Artificial Neural Networks, ICANN 2002 - , Spain
Duration: 28 Aug 200230 Aug 2002

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference2002 International Conference on Artificial Neural Networks, ICANN 2002
Country/TerritorySpain
Period28/08/200230/08/2002

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