Computer simulation of the motor-neural system of a simple invertebrate

Ernst Niebur, P. Erdos

Research output: Contribution to journalArticle

Abstract

Among animals with simple neural systems are the nematodes (round worms). The complete neural circuitry of a nematode, Caenorhabditis elegans, is known. It comprises 302 neurons which have a simple geometrical shape and are connected by about 20 synapses per neuron. We have developed a model for neural networks which use the electrotonic mode of operation. The model is based on transmission line theory for the neural processes, and the electrochemistry of synapses. Combining processes and synapses according to the circuity of a given neural system yields a model in the form of coupled partial differential equations for the intracellular electric potential of the neurons. A computer simulation of the neural system in question is obtained by solving these equations numerically.

Original languageEnglish (US)
Pages (from-to)350
Number of pages1
JournalNeural Networks
Volume1
Issue number1 SUPPL
DOIs
StatePublished - 1988
Externally publishedYes

Fingerprint

Invertebrates
Computer Simulation
Synapses
Neurons
Computer simulation
Transmission line theory
Electrochemistry
Neural Networks (Computer)
Caenorhabditis elegans
Partial differential equations
Animals
Neural networks
Electric potential

ASJC Scopus subject areas

  • Artificial Intelligence
  • Neuroscience(all)

Cite this

Computer simulation of the motor-neural system of a simple invertebrate. / Niebur, Ernst; Erdos, P.

In: Neural Networks, Vol. 1, No. 1 SUPPL, 1988, p. 350.

Research output: Contribution to journalArticle

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