Combining engineering models with biophysical models to analyze a biological neural network: The electrosensory system of sharks, skates and rays

M. G. Paulin, M. E. Nelson

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The elasmobranch electrosensory system forms a neural representation of weak electrical field sources in the environment. Electrical noise correlated to the animal's own activity is rejected at an early stage of processing in the brain. The noise rejecting mechanism appears to be a neural analog of an adaptive array filter in the dorsal octavolateral nucleus of the medulla. The authors have applied engineering analysis to build a framework for understanding how the shark's brain may transform electrosensory data into a representation of its environment. They are fleshing out the skeleton by replacing analytical terms in the engineering model with neural network models based on biological data.

Original languageEnglish (US)
Title of host publicationANNES 1993 - 1st New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems
EditorsNikola K. Kasabov
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages8-10
Number of pages3
ISBN (Electronic)0818642602, 9780818642609
DOIs
StatePublished - 1993
Event1stt New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems, ANNES 1993 - Dunedin, New Zealand
Duration: Nov 24 1993Nov 26 1993

Publication series

NameANNES 1993 - 1st New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems

Conference

Conference1stt New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems, ANNES 1993
Country/TerritoryNew Zealand
CityDunedin
Period11/24/9311/26/93

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Artificial Intelligence
  • Computer Science Applications
  • Computer Graphics and Computer-Aided Design

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