A neurohybrid memristive system for adaptive stimulation of hippocampus

Gerasimova, S. A.; Лебедева, А.В.; Fedulina, Anastasiya; Koryazhkina, M. N.; Belov, A. I.; Mishchenko, Mikhail; Matveeva, Mariya; Гусейнов, Д. В.; Mikhaylov, A. N.; Kazantsev, Victor B.; Pisarchik, Alexander N.

doi:10.1016/j.chaos.2021.110804

Cited by 22 publications

(9 citation statements)

References 35 publications

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“…Significant efforts have been made to establish unidirectional coupling between silicon structures and neurons, allowing for direct neural cell stimulation [ 26 ]. Nanoelectronic devices based on carbon nanotubes and nanowires can detect biomolecular chemical processes and bioelectrical activity in neurons [ 27 , 28 ]. Graphene transistors offer the ability to register, stimulate, or suppress nerve pulses on transparent and flexible substrates [ 29 , 30 ].…”

Section: Introductionmentioning

confidence: 99%

“…It is worth noting that our system operated as an open-loop system, lacking feedback mechanisms. As such, our previous developments [ 28 , 48 , 49 ] fall into the category of directed stimulation systems, which are now commonly referred to as open-loop systems [ 47 ]. The incorporation of a memristor as part of neural networks offers potential benefits in terms of energy efficiency, and its nanoscale size holds significant promise for the future development of neuroprostheses and neurochips.…”

Section: Introductionmentioning

confidence: 99%

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Living-Neuron-Based Autogenerator

Gerasimova

Beltyukova

Fedulina

et al. 2023

Sensors

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We present a novel closed-loop system designed to integrate biological and artificial neurons of the oscillatory type into a unified circuit. The system comprises an electronic circuit based on the FitzHugh-Nagumo model, which provides stimulation to living neurons in acute hippocampal mouse brain slices. The local field potentials generated by the living neurons trigger a transition in the FitzHugh–Nagumo circuit from an excitable state to an oscillatory mode, and in turn, the spikes produced by the electronic circuit synchronize with the living-neuron spikes. The key advantage of this hybrid electrobiological autogenerator lies in its capability to control biological neuron signals, which holds significant promise for diverse neuromorphic applications.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Living-Neuron-Based Autogenerator

Gerasimova

Beltyukova

Fedulina

et al. 2023

Sensors

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“…In 2006, the experimental results obtained by Jerman et al showed that the mossy fiber input from DG to CA3 was essential during the learning process and influenced the distributed DGbased activity of the CA3 neurons to be activated [15]. In 2021, Gerasimova et al proposed a hybrid memory neuromorphic system, where a 30 Hz electrical stimulation of the DG area resulted in signals that reached the CA3 area first and then entered the CA1 area, demonstrating the ability of the signals to enter the trisynaptic pathway of the hippocampus through all fibers [16]. In 2009, Nakashiba et al investigated the effect of the blockade of the trisynaptic pathway of the CA3 output on memory consolidation.…”

Section: Introductionmentioning

confidence: 99%

Passive array micro-magnetic stimulation device based on multi-carrier wireless flexible control for magnetic neuromodulation

Tian,

Zhao,

Dong

et al. 2023

J. Neural Eng.

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Objective: The passive micro-magnetic stimulation (µMS) devices typically consist of an external transmitting coil and a single internal micro-coil, which enables a point-to-point energy supply from the external coil to the internal coil and the realization of magnetic neuromodulation via wireless energy transmission. The internal array of micro coils can achieve multi-target stimulation without movement, which improves the focus and effectiveness of magnetic stimulations. However, achieving a free selection of an appropriate external coil to deliver energy to a particular internal array of micro-coils for multiple stimulation targets has been challenging. To address this challenge, this study uses a multi-carrier modulation technique to transmit the energy of the external coil.Approach: In this study, a theoretical model of a multi-carrier resonant compensation network for the array µMS is established based on the principle of magnetically coupled resonance. The resonant frequency coupling parameter corresponding to each micro-coil of the array µMS is determined, and the magnetic field interference between the external coil and its non-resonant micro-coils is eliminated. Therefore, an effective magnetic stimulation threshold for a micro-coil corresponding to the target is determined, and wireless free control of the internal micro-coil array is achieved by using an external transmitting coil.Main results: The passive µMS array model is designed using a multi-carrier wireless modulation method, and its synergistic modulation of the magnetic stimulation of synaptic plasticity Long-term Potentiation in multiple hippocampal regions is investigated using hippocampal isolated brain slices.Significance: The results presented in this study could provide theoretical and experimental bases for implantable micro-magnetic device-targeted therapy, introducing an efficient method for diagnosis and treatment of neurological diseases and providing innovative ideas for in-depth application of micro-magnetic stimulation in the neuroscience field.

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“…Among these nonlinear elements, memristor occupies now a prominent place. For example, memristive devices are among the best leading hardware units for building neuromorphic intelligence systems as they operate at an inherent low voltage, use multi-bit storage, and are costeffective to manufacture [1,2]. Moreover, the discovery of memristor physical implementation in Hewlett-Packard (HP) laboratory [3] has triggered various investigations in the recent decades [4,5].…”

Section: Introductionmentioning

confidence: 99%

Coexistence of hyperchaos with chaos and its control in a diode-bridge memristor based MLC circuit with experimental validation

Fozin¹,

Nzoko²,

Telem³

et al. 2022

Phys. Scr.

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This paper reports both the coexistence of chaos and hyperchaos and their control based on a noninvasive temporal feedback method for attractor selection in a multistable non-autonomous memristive Murali-Lakshamanan-Chua (MLC) system. Numerical simulation methods such as bifurcation diagrams, the spectrum of Lyapunov exponents, phase portraits, and cross-section basins of initial states are used to examine several striking dynamical features of the system, including torus, chaos, hyperchaos, and multistability. Of most interest, the rare phenomenon of the coexistence of hyperchaos and chaos has been uncovered based on bifurcation techniques and nonbifurcation scheme like offset boosting. Further analyses based on intermittent feedback-based control in the time domain help to drive the system from the multistable state to a monostable one where only the hyperchaotic attractor survives. Since the attractor's internal dynamics are retained, this control method is non-invasive. At the end of our analyses, the results of both PSpice and that of the microcontroller-based digital calculator of the circuit match perfectly with the numerical investigations.

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A neurohybrid memristive system for adaptive stimulation of hippocampus

Cited by 22 publications

References 35 publications

Living-Neuron-Based Autogenerator

Living-Neuron-Based Autogenerator

Passive array micro-magnetic stimulation device based on multi-carrier wireless flexible control for magnetic neuromodulation

Coexistence of hyperchaos with chaos and its control in a diode-bridge memristor based MLC circuit with experimental validation

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