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Related Experiment Videos

Estimating target speed from the population response in visual area MT.

Nicholas J Priebe1, Stephen G Lisberger

  • 1Howard Hughes Medical Institute, Department of Physiology, W. M. Keck Foundation Center for Integrative Neuroscience, University of California, San Francisco, California 94143, USA. nico@northwestern.edu

The Journal of Neuroscience : the Official Journal of the Society for Neuroscience
|February 27, 2004
PubMed
Summary

Visual systems estimate target speed using neural responses in the middle temporal (MT) area. Spatial frequency and contrast changes affect speed perception and pursuit eye movements by altering neural activity.

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Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Visual Perception

Background:

  • Behavioral guidance relies on estimating environmental properties from neural population responses.
  • The middle temporal (MT) area in the extrastriate visual cortex processes visual motion information.
  • MT neuron responses are crucial for smooth pursuit eye movements and perceptual speed judgments.

Purpose of the Study:

  • To investigate how behavioral systems estimate target speed from population responses in the MT area.
  • To determine the influence of spatial frequency and contrast on speed estimation.
  • To model the computational mechanisms underlying speed perception and pursuit.

Main Methods:

  • Recording neural population responses from the MT area.

Related Experiment Videos

  • Manipulating spatial frequency and contrast of visual stimuli (sine wave gratings).
  • Analyzing smooth pursuit eye movements and perceptual speed judgments.
  • Applying a modified vector-averaging computation to MT population responses.

    • Main Results:

    • Increased spatial frequency decreased estimated target speed for both perception and pursuit.
    • Decreased contrast also decreased estimated target speed for both perception and pursuit.
    • Spatial frequency changes altered the identity of active MT neurons, while contrast changes affected response amplitude.

    Conclusions:

    • A modified vector-averaging model accurately predicted the effects of spatial frequency and contrast on speed estimation.
    • The model suggests a bias towards low target speeds when MT population responses are weak.
    • Neural population coding in MT underlies accurate visual speed perception and guiding motor behavior.