Stability assessment of the leech swim oscillator using a VLSI-based model

Andrew J. Laffely, Seth Wolpert

Research output: Contribution to conferencePaperpeer-review

Abstract

In this study VLSI-based artificial neurons are used to realize neuronal oscillatory networks. A comprehensive electronic model of the Hirudo swim oscillator is recreated and subjected to numerous parametric variations. This, combined with similar analyses of the mutually and cyclically inhibited sub-networks embedded in the network, provides a good indication of the origins of network stability. Test data indicate that different sub-network types exhibit immunity to contrasting parameters, and that the overall swim oscillator network is more stable than either sub-network type alone.

Original languageEnglish (US)
Pages89-91
Number of pages3
StatePublished - Jan 1 1995
EventProceedings of the 1995 IEEE 21st Annual Northeast Bioengineering Conference - Bar Harbor, ME, USA
Duration: May 22 1995May 23 1995

Other

OtherProceedings of the 1995 IEEE 21st Annual Northeast Bioengineering Conference
CityBar Harbor, ME, USA
Period5/22/955/23/95

All Science Journal Classification (ASJC) codes

  • Bioengineering

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