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Updated: Jun 8, 2026

Automated Multimodal Stimulation and Simultaneous Neuronal Recording from Multiple Small Organisms
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Automated Multimodal Stimulation and Simultaneous Neuronal Recording from Multiple Small Organisms

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Rewiring neural interactions by micro-stimulation.

James M Rebesco1, Ian H Stevenson, Konrad P Körding

  • 1Department of Physiology, Feinberg School of Medicine, Northwestern University Chicago, IL, USA.

Frontiers in Systems Neuroscience
|September 15, 2010
PubMed
Summary
This summary is machine-generated.

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Researchers used spike-triggered stimulation to induce brain plasticity in rats, altering neural network connectivity. This targeted approach shows potential for rehabilitation and brain-machine interfaces.

Area of Science:

  • Neuroscience
  • Systems Neuroscience
  • Computational Neuroscience

Background:

  • Neural plasticity is fundamental for brain function and injury recovery.
  • Associative pairing of neural activity can modify synaptic efficacy.
  • In vivo studies demonstrate that such paradigms can alter neuronal responses.

Purpose of the Study:

  • To investigate the induction of plastic changes in the rat forelimb sensorimotor cortex using in vivo spike-triggered stimulation.
  • To monitor functional connectivity changes inferred from neuronal spiking statistics.
  • To explore the potential of targeted connectivity changes for neural network reorganization.

Main Methods:

  • In vivo spike-triggered stimulation was applied to the rat forelimb sensorimotor cortex.
Keywords:
brain machine interfacefunctional connectivityhebbian associationplasticityratsensorimotor cortex

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Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
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Last Updated: Jun 8, 2026

Automated Multimodal Stimulation and Simultaneous Neuronal Recording from Multiple Small Organisms
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Published on: March 3, 2023

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
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Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

Published on: March 2, 2015

  • Functional connectivity was statistically inferred from neuronal spiking activity during spontaneous behavior.
  • The dependency of plastic changes on the latency between trigger spike and stimulation was analyzed.

    • Main Results:

    • Spike-triggered stimulation successfully induced plastic changes in inferred functional connectivity.
    • The induced changes were dependent on the latency between the trigger spike and stimulation.
    • These alterations suggest a robust reorganization of the neural network.

    Conclusions:

    • Targeted induction of neural plasticity can reorganize network connectivity.
    • This method offers a potential tool for rerouting information flow in neural networks.
    • Applications include neurorehabilitation and the development of brain-machine interfaces.