Adaptive leaky integrator models of cerebellar Purkinje cells can learn the clustering of temporal patterns

Volker Steuber, D. J. Willshaw

Research output: Contribution to journalArticlepeer-review

15 Citations (Scopus)

Abstract

We have shown previously that the metabotropic glutamate receptor signalling network in a cerebellar Purkinje cell can implement adaptive postsynaptic delays. Here we present a leaky integrator version of the Purkinje cell model which: uses a simple synaptic delay learning rule. We show that a single leaky integrator can learn a radial basis function-like response to temporal parallel fibre patterns, and that different leaky integrators in a group are able to discover different clusters in a temporal parallel fibre input space. The clustering performance of the model can be improved by desensitization of the input currents. (C) 1999 Elsevier Science B.V. All rights reserved.

Original languageEnglish
Pages (from-to)271-276
Number of pages6
JournalNeurocomputing
Volume26-27
DOIs
Publication statusPublished - Jun 1999

Keywords

  • cerebellum
  • Purkinje cells
  • synaptic delays
  • temporal coding
  • NEURONS

Fingerprint

Dive into the research topics of 'Adaptive leaky integrator models of cerebellar Purkinje cells can learn the clustering of temporal patterns'. Together they form a unique fingerprint.

Cite this