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

E. Niebur; P. Erdos

doi:10.1016/0893-6080(88)90378-4

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

E. Niebur, P. Erdos

Research output: Contribution to journal › Conference article › peer-review

1 Scopus citations

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 language	English (US)
Number of pages	1
Journal	Neural Networks
Volume	1
Issue number	1 SUPPL
DOIs	https://doi.org/10.1016/0893-6080(88)90378-4
State	Published - Jan 1 1988
Externally published	Yes
Event	International Neural Network Society 1988 First Annual Meeting - Boston, MA, USA Duration: Sep 6 1988 → Sep 10 1988

ASJC Scopus subject areas

Cognitive Neuroscience
Artificial Intelligence

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title = "Computer simulation of the motor-neural system of a simple invertebrate",

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.",

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AU - Erdos, P.

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N2 - 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.

AB - 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.

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T2 - International Neural Network Society 1988 First Annual Meeting

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

Abstract

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