Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1897959 | Physica D: Nonlinear Phenomena | 2008 | 5 Pages |
Abstract
We study a deterministic dynamics with two time scales in a continuous state attractor network. To the usual (fast) relaxation dynamics towards point attractors (“patterns”) we add a slow coupling dynamics that makes the visited patterns lose stability, leading to an itinerant behavior in the form of punctuated equilibria. One finds that the transition frequency matrix for transitions between patterns shows non-trivial statistical properties in the chaotic itinerant regime. We show that mixture input patterns can be temporally segmented by the itinerant dynamics. The viability of a combinatorial spatio-temporal neural code is also demonstrated.
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Juliana R. Dias, Rodrigo F. Oliveira, Osame Kinouchi,