On the parametric stability of a central pattern generator

Seth Wolpert, W. Otto Friesen

Research output: Contribution to journalConference article

2 Scopus citations

Abstract

In this study, one subunit of the nerve network that gives rise to swimming oscillations in Hirudo was implemented in electronic hardware and characterized for its range and stability. Based on documentation from in-vivo studies, the network was re-created in analog VLSI hardware on a nerve-by-nerve, synapse-by-synapse basis. The eleven cells that comprise the network are tonically active, and network topology reveals the presence of numerous reciprocally inhibitory pairs and cyclically inhibitory rings of cells. IC-based artificial nerve cells were individually configured to match the responsiveness of their living counterparts, and the network assembled. Parametric tests on tonically active single cells, reciprocally inhibitory pairs of cells, cyclically inhibitory rings of cells, and the entire network revealed that the entire network was far more immune to variation in inward and environmental parameters than any suboscillator type alone. (C) Elsevier Science B.V. All rights reserved.

Original languageEnglish (US)
Pages (from-to)603-608
Number of pages6
JournalNeurocomputing
Volume32-33
DOIs
StatePublished - Jun 1 2000
EventThe 8th Annual Computational Neuroscience Meeting (CNS'99) - Pittsburgh, PA, USA
Duration: Jul 18 1999Jul 22 1999

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Cognitive Neuroscience
  • Artificial Intelligence

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