A neurohybrid memristive system for adaptive stimulation of hippocampus

S.A. Gerasimova, A.V. Lebedeva, A. Fedulina, M. Koryazhkina, A.I. Belov, M.A. Mishchenko, M. Matveeva, D. Guseinov, A.N. Mikhaylov, V.B. Kazantsev and A.N. Pisarchik

Chaos, Solitons & Fractals, 2021, vol. 146, issue C

Abstract: We propose a hybrid memristve neuromorphic system for stimulating hippocampus regions bypassing damaged areas. Synaptic plasticity properties of the system allow close-loop adaptive control of neural dynamics. We implement the simplest version of this system which consists of two neuron-like generators coupled by a memristive device, and two fiber-optic channels to transmit signals from the generators directly to living cells to stimulate hippocampus regions. The adaptive stimulation nature of the neural cells is provided by a stochastic response of the self-learning memristive device to the signal of the neuron-like generator. A biological model of impaired functioning of the perforating pathway in the rat hippocampus is implemented by damaging the CA3 region, on the base of the electrophysiological signal changes in normal and pathological conditions. The proposed adaptive stimulation technology demonstrates the possibility of restoring the functionality of the perforating pathway by introducing the neuromorphic system into the hippocampus to replace lost areas.

Keywords: Memristive device; Neuron; Neuromorphic system; Adaptive stimulation technology; Neuronal synaptic plasticity; Hippocampal slice (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:146:y:2021:i:c:s0960077921001569

DOI: 10.1016/j.chaos.2021.110804

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