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Chaos and learning in the olfactory bulb
Author(s) -
Aradi I.,
Barna G.,
Érdi P.,
Grobler T.
Publication year - 1995
Publication title -
international journal of intelligent systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.291
H-Index - 87
eISSN - 1098-111X
pISSN - 0884-8173
DOI - 10.1002/int.4550100108
Subject(s) - olfactory bulb , chaotic , hebbian theory , computer science , content addressable memory , lyapunov exponent , bifurcation , nonlinear system , coupling (piping) , learning rule , artificial intelligence , neuroscience , physics , artificial neural network , psychology , central nervous system , mechanical engineering , quantum mechanics , engineering
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. © 1995 John Wiley & Sons, Inc.