The effects of symmetry breaking on the dynamics of an inertial neural system with a non-monotonic activation function: Theoretical study, asymmetric multistability and experimental investigation
Bertrand Frederick Boui A Boya,
Balamurali Ramakrishnan,
Joseph Yves Effa,
Jacques Kengne and
Karthikeyan Rajagopal
Physica A: Statistical Mechanics and its Applications, 2022, vol. 602, issue C
Abstract:
Multistability and symmetry breaking have been significantly investigated recently. In this paper, we study the effects of symmetry breaking on the behavior of a particular class of inertial neural systems with a non-monotonic activation function. By introducing a constant term in the nonlinearity of the model, we show that this system presents asymmetric type dynamics marked by the coexistence of chaotic bursting oscillations according to the different membranes of the neurons. We also report some interesting phenomena such as rising voltage peaks, the coexistence of several asymmetric attractors (six, five, four and three), the coexistence of asymmetric bubbles of bifurcation and transient chaos as well. We illustrate the influence of the symmetry breaking parameter by using 2D Lyapunov exponent, plotted for three different values of the symmetry control parameter. We prove that this model owns offset boosting and total amplitude control features. The experimental study is executed based on a microcontroller implementation and the results are in agreement with the numerical analysis.
Keywords: Inertial neural system; Symmetry breaking; Bursting oscillation; Asymmetric multistability; Microcontroller implementation (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (1)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:602:y:2022:i:c:s0378437122003351
DOI: 10.1016/j.physa.2022.127458
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