Chaos in a quantum neuron: An open system approach

Neto, Fernando M. de Paula; Oliveira, W.; Ludermir, Teresa B.; Silva, Adenilton J. da

doi:10.1016/j.neucom.2016.06.081

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Cited by 7 publications

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“…Due to the fact that the brain acts as the intricate part of the human body, chaos theory and dynamical equations provide a good base for studying it. In the model of electrical signals of nerves in the brain, chaos theory can help in the field of neurological diseases and also to the achievement of the invention of artificial intelligence [43][44][45][46].…”

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confidence: 99%

Archives of Control Sciences

Rasappan¹

2019

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Rose introduced the concept of neuronal burst. In this paper, synchronization is investigated for the construction of a model of neuronal burst using backstepping control with recursive feedback. Synchronization for a model of neuronal bursting system is established using Lyapunov stability theory. The backstepping scheme is a recursive procedure that links the choice of a Lyapunov function with the design of a controller. The backstepping control method is effective and convenient to synchronize identical systems. Numerical simulations are furnished to illustrate and validate the synchronization result derived in this paper.

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confidence: 99%