Does Morphology Influence Temporal Plasticity?

Arjen van Ooyen, David Sterratt

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

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.
Original languageEnglish
Title of host publicationArtificial Neural Networks — ICANN 2002
Subtitle of host publicationInternational Conference Madrid, Spain, August 28–30, 2002 ProceedingsInternational Conference Madrid, Spain, August 28–30, 2002 Proceedings
EditorsJoséR. Dorronsoro
PublisherSpringer Berlin Heidelberg
Pages186-191
Number of pages6
ISBN (Electronic)978-3-540-46084-8
ISBN (Print)978-3-540-44074-1
DOIs
Publication statusPublished - 2002

Publication series

NameLecture Notes in Computer Science
PublisherSpringer Berlin Heidelberg
Volume2415
ISSN (Print)0302-9743

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