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Related Experiment Video

Updated: Mar 6, 2026

An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces
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Conflicting adaptations in an inhibitory feedback circuit.

Gregor A Bergmann1,2, Melissa W Tan1,2, Katie Greenin-Whitehead1,2

  • 1School of Biosciences, University of Sheffield, Firth Court, Western Bank, Sheffield, United Kingdom.

The Journal of Physiology
|March 5, 2026
PubMed
Summary

Neural networks use homeostatic plasticity for stability, but local and network-level adaptations can conflict. In fruit flies, overactive neurons showed conflicting adaptations, preventing expected stability in neural network activity.

Keywords:
Drosophilafeedback inhibitionhomeostatic plasticitymushroom bodyolfaction

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Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Systems Neuroscience

Background:

  • Neural networks rely on homeostatic plasticity to maintain stable activity despite perturbations.
  • Conflicting homeostatic mechanisms at local and network levels can arise, particularly in inhibitory feedback circuits.

Purpose of the Study:

  • To investigate potential conflicts between local and network-level homeostatic plasticity.
  • To examine how these conflicting mechanisms affect neural activity stability in the Drosophila mushroom body.

Main Methods:

  • Utilized dual-colour calcium imaging in Drosophila.
  • Artificially activated excitatory Kenyon cells (KCs) for prolonged periods (24 hours).
  • Monitored activity changes in KCs and the anterior paired lateral (APL) neuron.

Main Results:

  • Prolonged KC activation led to decreased APL neuron sensitivity to KC activity.
  • KCs attempted to compensate for excess activity by reducing excitation.
  • Reduced inhibition from APL counteracted KC compensation, hindering expected homeostatic reduction in odour responses.

Conclusions:

  • Local neuronal adaptations can counteract broader network-level adaptations.
  • Conflicting homeostatic mechanisms can prevent the stabilization of neural activity.
  • Demonstrates a novel form of homeostatic conflict in neural circuits.