Reliable neuromime representation of fatigue based mutual inhibition

Andrew Laffely, Seth Wolpert

Research output: Contribution to journalConference article

Abstract

In this study a pair of VLSI-based artificial neurons with built in fatigue are used to realize mutual inhibition. Each artificial neuron is nominally self-excitatory with a single inhibitory input driven from the activation of the other neuron. The fatigue feature of each cell weakens its response over the duration of the complementary cell's activation. This allows the inactive cell to recover and thus inhibit its counterpart. Using this representation of mutual inhibition results in stable oscillations with a wide range of flexibility and control. Parametric analysis of network frequency indicates that this type of reciprocal inhibitory network is more profoundly affected by fatigue properties than the rate of individual cell self- excitation.

Original languageEnglish (US)
Pages (from-to)970-971
Number of pages2
JournalAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume16
Issue numberpt 2
Publication statusPublished - Dec 1 1994
EventProceedings of the 16th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Part 1 (of 2) - Baltimore, MD, USA
Duration: Nov 3 1994Nov 6 1994

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All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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