Plasticity and learning in a network of coupled phase oscillators

Details Plasticity and learning in a network of coupled phase oscillators Plasticity and learning in a network of coupled phase oscillators

2001-10-23

arxiv.org/abs/nlin/0110044v1

Nonlinear Sciences

Adaptation and Self-Organizing Systems

10 pages

Scientific paper

10.1103/PhysRevE.65.041906

A generalized Kuramoto model of coupled phase oscillators with slowly varying coupling matrix is studied. The dynamics of the coupling coefficients is driven by the phase difference of pairs of oscillators in such a way that the coupling strengthens for synchronized oscillators and weakens for non-synchronized pairs. The system possesses a family of stable solutions corresponding to synchronized clusters of different sizes. A particular cluster can be formed by applying external driving at a given frequency to a group of oscillators. Once established, the synchronized state is robust against noise and small variations in natural frequencies. The phase differences between oscillators within the synchronized cluster can be used for information storage and retrieval.

Affiliated with

Also associated with

No associations

Rating

Plasticity and learning in a network of coupled phase oscillators does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Plasticity and learning in a network of coupled phase oscillators, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Plasticity and learning in a network of coupled phase oscillators will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-651195