Phase-locking and bistability in neuronal networks with synaptic depression
Document Type
Article
Publication Date
2-1-2018
Abstract
We consider a recurrent network of two oscillatory neurons that are coupled with inhibitory synapses. We use the phase response curves of the neurons and the properties of short-term synaptic depression to define Poincaré maps for the activity of the network. The fixed points of these maps correspond to phase-locked modes of the network. Using these maps, we analyze the conditions that allow short-term synaptic depression to lead to the existence of bistable phase-locked, periodic solutions. We show that bistability arises when either the phase response curve of the neuron or the short-term depression profile changes steeply enough. The results apply to any Type I oscillator and we illustrate our findings using the Quadratic Integrate-and-Fire and Morris–Lecar neuron models.
Identifier
85032970971 (Scopus)
Publication Title
Physica D Nonlinear Phenomena
External Full Text Location
https://doi.org/10.1016/j.physd.2017.09.007
ISSN
01672789
First Page
8
Last Page
21
Volume
364
Grant
68127-00 46
Fund Ref
National Science Foundation
Recommended Citation
Akcay, Zeynep; Huang, Xinxian; Nadim, Farzan; and Bose, Amitabha, "Phase-locking and bistability in neuronal networks with synaptic depression" (2018). Faculty Publications. 8866.
https://digitalcommons.njit.edu/fac_pubs/8866
