Chimera states in networks of type-I Morris-Lecar neurons
| Autor: | Muhammet Uzuntarla, Ali Calim, Philipp Hövel, Mahmut Ozer |
|---|---|
| Přispěvatelé: | Zonguldak Bülent Ecevit Üniversitesi |
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Biological conditions
Coupled dynamical systems Dynamical systems theory Chemical synapsis Parameter space 01 natural sciences 010305 fluids & plasmas Chimera (genetics) 0103 physical sciences Statistical physics 010306 general physics Control parameters Nonlinear Sciences::Pattern Formation and Solitons Physics Neurons Spatiotemporal patterns Quantitative Biology::Neurons and Cognition Morris–Lecar model Dynamic behaviors Dynamical system Chimera states Nonlinear system Nonlinear dynamics Amplitude death Morris-Lecar neurons Coherent states Morris-Lecar model |
| Popis: | Chimeras are complex spatiotemporal patterns that emerge as coexistence of both coherent and incoherent groups of coupled dynamical systems. Here, we investigate the emergence of chimera states in nonlocal networks of type-I Morris-Lecar neurons coupled via chemical synapses. This constitutes a more realistic neuronal modeling framework than previous studies of chimera states, since the Morris-Lecar model provides biophysically more relevant control parameters to describe the activity in actual neural systems. We explore systematically the transitions of dynamic behavior and find that different types of synchrony appear depending on the excitability level and nonlocal network features. Furthermore, we map the transitions between incoherent states, traveling waves, chimeras, coherent states, and global amplitude death in the parameter space of interest. This work contributes to a better understanding of biological conditions giving rise to the emergence of chimera states in neural medium. © 2018 American Physical Society. European Commission Deutsche Forschungsgemeinschaft M.U. acknowledges support from Erasmus+ programme of the European Union. P.H. acknowledges support by Deutsche Forschungsgemeinschaft within the framework of Collaborative Research Center 910 and under Grant No. HO4695/3-1. |
| Databáze: | OpenAIRE |
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