Many systems in physics, chemistry, and biology exhibit oscillations with a pronounced random component. Such stochastic oscillations can emerge via different mechanisms, for …
We review recent work on the theory and applications of stochastic hybrid systems in cellular neuroscience. A stochastic hybrid system or piecewise deterministic Markov process …
A modified FitzHugh–Nagumo neuron model with sigmoid function-based recovery variable is considered with electromagnetic flux coupling. The dynamical properties of the proposed …
K Rajagopal, I Moroz, A Karthikeyan, P Duraisamy - Nonlinear Dynamics, 2020 - Springer
Abstract An extended Morris–Lecar neuron model incorporating electromagnetic flux coupling and external excitation is proposed. The complete dynamical behavior of the new …
Thomas and Lindner [PJ Thomas and B. Lindner, Phys. Rev. Lett. 113, 254101 (2014). PRLTAO 0031-9007 10.1103/PhysRevLett. 113.254101], defined an asymptotic phase for …
S Majidifar, M Hayati, MR Malekshahi… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Digital realization of neuron models, especially implementation on a field programmable gate array (FPGA), is one of the key objectives of neuromorphic research, because the …
Stochastic oscillators play a prominent role in different fields of science. Their simplified description in terms of a phase has been advocated by different authors using distinct phase …
We introduce a variational method for analyzing limit cycle oscillators in R^d driven by Gaussian noise. This allows us to derive exact stochastic differential equations for the …
M Engel, C Kuehn - Communications in Mathematical Physics, 2021 - Springer
For an attracting periodic orbit (limit cycle) of a deterministic dynamical system, one defines the isochron for each point of the orbit as the cross-section with fixed return time under the …