Nonlinear Sciences – Adaptation and Self-Organizing Systems
Scientific paper
2003-09-15
Nonlinear Sciences
Adaptation and Self-Organizing Systems
14 pages. An error has been found in the asymptotic analysis in section 5 of the first version, due to which some of the claim
Scientific paper
We study a modification of the canonical model for networks of class I neurons, presented by Hoppensteadt and Izhikevich, in which the 'pulse' emitted by a neuron is smooth rather than a delta-function. We prove two types of results about synchronization and desynchronization of such networks, the first type pertaining to 'pulse' functions which are symmetric, and the other type in the regime in which each neuron is connected to many other neurons.
No associations
LandOfFree
Synchronization in model networks of class I neurons 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 Synchronization in model networks of class I neurons, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Synchronization in model networks of class I neurons will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-511776