Solving graph algorithms with networks of spiking neurons.

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Solving graph algorithms with networks of spiking neurons. Abstract Text:

D M Sala,K J Cios,

Spatio-temporal coding that combines spatial constraints with temporal sequencing is of great interest to brain-like circuit modelers. In this paper we present some new ideas of how these types of circuits can self-organize. We introduce a temporal correlation rule based on the time difference between the firing of neurons. With the aid of this rule we show an analogy between a graph and a network of spiking neurons. The shortest path, clustering based on the nearest neighbor, and the minimal spanning tree algorithms are solved using the proposed approach.

Solving graph algorithms with networks of spiking neurons. Publishing Authors By Initials

DM Sala,KJ Cios,

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Solving graph algorithms with networks of spiking neurons. Journal Published:

PUBLICATION TYPE: Journal Article

Journal: IEEE transactions on neural networks / a publicati

VOLUME: 10

Page Numbers: 953-7

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ISSN: 1045-9227

DAY: 6

MONTH: 02

YEAR: 1999

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LANGUAGE: eng

NlmUniqueID: 101211035

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AFFILIATION: Toledo Univ., OH.

Country: United States

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MEDLINETA: IEEE Trans Neural Netw

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