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Phase-locking and bistability in neuronal networks with synaptic depression.
Akcay, Zeynep; Huang, Xinxian; Nadim, Farzan; Bose, Amitabha.
Affiliation
  • Akcay Z; Department of Mathematics and Computer Science, Queensborough Community College, Bayside, NY 11364, USA.
  • Huang X; Department of Mathematical Sciences, New Jersey Institute of Technology, Newark, NJ, 07102, USA.
  • Nadim F; Department of Mathematical Sciences, New Jersey Institute of Technology, Newark, NJ, 07102, USA.
  • Bose A; Federated Department of Biological Sciences, New Jersey Institute of Technology and Rutgers University, Newark, NJ 07102, USA.
Physica D ; 364: 8-21, 2018 Feb 01.
Article in En | MEDLINE | ID: mdl-31462839
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.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Physica D Year: 2018 Document type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Physica D Year: 2018 Document type: Article Affiliation country: United States