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Modeling of spiking-bursting neural behavior using two-dimensional map

โœ Scribed by Rulkov, Nikolai F.


Book ID
120201587
Publisher
The American Physical Society
Year
2002
Tongue
English
Weight
165 KB
Volume
65
Category
Article
ISSN
1063-651X

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โœฆ Synopsis


A simple model that replicates the dynamics of spiking and spiking-bursting activity of real biological neurons is proposed. The model is a two-dimensional map that contains one fast and one slow variable. The mechanisms behind generation of spikes, bursts of spikes, and restructuring of the map behavior are explained using phase portrait analysis. The dynamics of two coupled maps that model the behavior of two electrically coupled neurons is discussed. Synchronization regimes for spiking and bursting activities of these maps are studied as a function of coupling strength. It is demonstrated that the results of this model are in agreement with the synchronization of chaotic spiking-bursting behavior experimentally found in real biological neurons.


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โœ Rabi N. Mahapatra; Sudipta Mahapatra ๐Ÿ“‚ Article ๐Ÿ“… 1996 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 819 KB

Proper implementation strategies should be followed to fully exploit the potential of artificial neural nets (ANNs). This in turn depends on the selection of an appropriate mapping scheme, especially while implementing neural nets in parallel processing environment. In this paper, we discuss the map