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Related Experiment Videos

Global versus local adaptation in fly motion-sensitive neurons.

Peter Neri1, Simon B Laughlin

  • 1University of Cambridge, Department of Zoology, Downing Site, Cambridge CB2 3EJ, England. pn@white.stanford.edu

Proceedings. Biological Sciences
|September 30, 2005
PubMed
Summary

Flies adapt to visual motion, similar to humans experiencing the waterfall illusion. Novel findings reveal that adapting one receptive field area enhances motion detection in other areas.

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Area of Science:

  • Neuroscience
  • Sensory processing
  • Visual perception

Background:

  • Flies and humans exhibit motion adaptation, exemplified by the waterfall illusion.
  • Direction-selective neurons in the fly lobula plate are key to analyzing motion adaptation mechanisms.
  • These neurons typically sum motion responses across their receptive field, with adaptation reducing responses.

Purpose of the Study:

  • To investigate the mechanisms of motion adaptation in the fly visual system.
  • To understand how adaptation in one part of a neuron's receptive field affects responses in other parts.

Main Methods:

  • Studying direction-selective neurons in the fly lobula plate.
  • Adapting small, localized areas of the receptive field to specific motion directions.

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  • Measuring neuronal responses to motion in both adapted and unadapted regions.

    • Main Results:

    • Adapting a small receptive field area to anti-preferred motion direction enhanced directional gain in unadapted regions.
    • This indicates that neuronal responses are dynamically adjusted based on stimulation history both locally and globally.
    • The study identified a novel phenomenon of cross-areal adaptation in motion-sensitive neurons.

    Conclusions:

    • Neuronal responses to visual motion direction are not solely determined by local stimulation.
    • Adaptation effects can propagate across a neuron's receptive field, influencing responses in previously unadapted areas.
    • This suggests a sophisticated, dynamic gain control mechanism in motion processing.