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Deep brain stimulation and lag synchronization in a memristive two-neuron network.

Xihong Yu1, Han Bao1, Quan Xu1

  • 1School of Microelectronics and Control Engineering, Changzhou University, Changzhou 213159, PR China.

Neural Networks : the Official Journal of the International Neural Network Society
|September 19, 2024
PubMed
Summary

This study proposes a memristive neural network to investigate deep brain stimulation (DBS). Researchers uncovered how memristor synapses desynchronize neural activity, offering insights into DBS mechanisms.

Keywords:
Deep brain stimulationDigital two-neuron networkMemristor synapseMorris–Lecar neuron

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Area of Science:

  • Computational Neuroscience
  • Neuro-engineering
  • Systems Neuroscience

Background:

  • Deep brain stimulation (DBS) is used to treat neurological disorders by modulating pathological neural activity.
  • Understanding the precise mechanisms of DBS is crucial for optimizing therapeutic interventions.
  • Memristive devices offer novel approaches to model complex neural dynamics.

Purpose of the Study:

  • To propose and analyze a memristive two-neuron network model incorporating DBS.
  • To investigate the role of memristor synapses in neural network synchronization and desynchronization.
  • To validate the model's dynamics through hardware implementation.

Main Methods:

  • Coupling two-dimensional Morris-Lecar neuron models with a memristor synaptic synapse.
  • Numerical dynamical analysis to explore bursting activities and synchronization behaviors.
  • Field-Programmable Gate Array (FPGA) hardware implementation for experimental validation.

Main Results:

  • The memristive network exhibits complex bursting activities and diverse dynamical effects.
  • Synaptic connections mediated by memristors induce time-lagged or asynchronous firing in synchronized networks.
  • Hardware experiments confirm the model's ability to replicate rich neuronal electrical activities and chaotic dynamics.

Conclusions:

  • Memristor synapses play a key role in desynchronizing neural network activity, potentially explaining DBS effects.
  • The proposed memristive network provides a valuable platform for studying DBS mechanisms.
  • This research offers fundamental insights into neural network dynamics and therapeutic interventions for neurological disorders.