Chaos and learning in the olfactory bulb

I. Aradi, G. Barna, P. Érdi, T. Grobler

Research output: Contribution to journalArticle

30 Citations (Scopus)

Abstract

A mathematical model is given for describing activity dynamics, learning, and associative memory in the olfactory bulb. Numerical bifurcation analysis and the calculation of Lyapunov-exponents suggest that chaotic behavior only occurs in the case of strong excitatory coupling in the mitral layer. A Hebbian-type learning rule, supplemented with a nonlinear decay term and a selective decreasing term, is defined and analyzed. Slow learning modifies the bulbar activity dynamics hence it plays a crucial role in odor information processing.

Original languageEnglish
Pages (from-to)89-117
Number of pages29
JournalInternational Journal of Intelligent Systems
Volume10
Issue number1
Publication statusPublished - Jan 1995

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Chaos theory
Bifurcation (mathematics)
Odors
Mathematical models
Data storage equipment

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Chaos and learning in the olfactory bulb. / Aradi, I.; Barna, G.; Érdi, P.; Grobler, T.

In: International Journal of Intelligent Systems, Vol. 10, No. 1, 01.1995, p. 89-117.

Research output: Contribution to journalArticle

Aradi, I, Barna, G, Érdi, P & Grobler, T 1995, 'Chaos and learning in the olfactory bulb', International Journal of Intelligent Systems, vol. 10, no. 1, pp. 89-117.
Aradi, I. ; Barna, G. ; Érdi, P. ; Grobler, T. / Chaos and learning in the olfactory bulb. In: International Journal of Intelligent Systems. 1995 ; Vol. 10, No. 1. pp. 89-117.
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