13 February 2018 Nonlinear dynamics and coherent resonance in a network of coupled neural-like oscillators
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Abstract
In this paper we study the spiking behaviour of a neuronal network consisting of 100 Rulkov elements coupled to each other with randomly chosen coupling strength. We find periodical grouping forming in the signal from all neurons in the network. We discovered the phenomenon of coherent resonance when signal-to-noise ration takes the maximum value at certain values of such parameters as number of neurons in the system, number of stimulated neurons, amplitude of external stimulus and amplitude of internal noise.
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Andrei V. Andreev, Anastasiya E. Runnova, Alexander N. Pisarchik, Alexander E. Hramov, "Nonlinear dynamics and coherent resonance in a network of coupled neural-like oscillators", Proc. SPIE 10493, Dynamics and Fluctuations in Biomedical Photonics XV, 1049317 (13 February 2018); doi: 10.1117/12.2291670; https://doi.org/10.1117/12.2291670
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