Rate models with delays and the dynamics of large networks of spiking neurons
Published
Conference Paper
We investigate the dynamics of a one-dimensional network of spiking neurons with spatially modulated excitatory and inhibitory interactions through extensive numerical simulations. We find that the network displays a rich repertoire of dynamical states as a function of the interaction parameters, including homogeneous oscillations, oscillatory bumps, traveling waves, lurching waves, standing waves, quasi-periodic and chaotic states as well as regimes of multistability. Combining analytical calculations and simulations we show that similar dynamics are found in a reduced rate model provided that the interactions are delayed.
Full Text
Duke Authors
Cited Authors
- Roxin, A; Brunel, N; Hansel, D
Published Date
- June 28, 2006
Published In
Volume / Issue
- 161 /
Start / End Page
- 68 - 85
Electronic International Standard Serial Number (EISSN)
- 1347-4081
International Standard Serial Number (ISSN)
- 0375-9687
Digital Object Identifier (DOI)
- 10.1143/PTPS.161.68
Citation Source
- Scopus