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Living-Neuron-Based Autogenerator.

Svetlana A Gerasimova1, Anna Beltyukova1, Anastasia Fedulina1

  • 1Department of Control Theory and System Dynamics, Neurotechnology Department, National Research Lobachevsky State University of Nizhny Novgorod, 603022 Nizhny Novgorod, Russia.

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Summary

This study introduces a hybrid system merging biological and artificial neurons. The novel circuit controls neural signals, synchronizing artificial and living neuron activity for neuromorphic applications.

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autogeneratorclose-loop control systemhippocampal slicehybrid neural circuitneuron-like oscillator

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Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Bioelectronics

Background:

  • Integrating biological and artificial neural systems is crucial for advancing neuromorphic computing.
  • Existing hybrid systems often face challenges in achieving seamless signal integration and control.

Purpose of the Study:

  • To develop and demonstrate a novel closed-loop system for unifying biological and artificial neurons.
  • To establish a bidirectional interface for controlling biological neuron signals using artificial components.

Main Methods:

  • An electronic circuit based on the FitzHugh-Nagumo model was employed for artificial neuron simulation.
  • The system utilized acute hippocampal mouse brain slices for housing biological neurons.
  • Local field potentials from biological neurons modulated the electronic circuit's state, and vice versa.

Main Results:

  • The hybrid system successfully integrated biological and artificial neurons into a unified oscillatory circuit.
  • Living neuron activity triggered the FitzHugh-Nagumo circuit into oscillation.
  • Spikes from the artificial circuit synchronized with biological neuron spikes, demonstrating effective control.

Conclusions:

  • The developed hybrid electrobiological autogenerator effectively controls biological neuron signals.
  • This system offers a promising platform for diverse neuromorphic applications requiring integrated neural processing.