Comparison of two models for pattern generation based on synaptic depression

Joël Tabak, Walter Senn, Michael J. O'Donovan, John Rinzel

Research output: Contribution to journalArticlepeer-review

Abstract

Previously, we developed two similar 3-variable models to explain the pattern of spontaneous rhythmic activity generated by the spinal cord of chick embryo. The models differ in the implementation of a slow depression variable, but each produces patterns of activity that qualitatively resemble experimental recordings. For both models, the ratio inter-episode interval/episode duration (i/d ratio) was too small compared to experiments. The introduction of a parameter representing the connectivity of the network has different effects on each model, therefore allowing them to be distinguished experimentally. Also, the model that seems to better satisfy experimental constraints is able to generate a large i/d ratio.

Original languageEnglish (US)
Pages (from-to)551-556
Number of pages6
JournalNeurocomputing
Volume26-27
DOIs
StatePublished - Jun 1999

Keywords

  • Connectivity
  • Excitatory network
  • Spontaneous activity
  • Synaptic depression

ASJC Scopus subject areas

  • Computer Science Applications
  • Cognitive Neuroscience
  • Artificial Intelligence

Fingerprint Dive into the research topics of 'Comparison of two models for pattern generation based on synaptic depression'. Together they form a unique fingerprint.

Cite this