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Related Experiment Video

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Suppressive interactions underlying visually evoked fixational saccades.

Helena X Wang1, Shlomit Yuval-Greenberg2, David J Heeger1

  • 1Center for Neural Science, New York University, New York, NY, United States; Dept. of Psychology, New York University, New York, NY, United States.

Vision Research
|February 4, 2015
PubMed
Summary
This summary is machine-generated.

Small saccades, or tiny eye movements, are influenced by visual stimuli. Competitive neural interactions in visuomotor maps shape the rate and direction of these fixational saccades, revealing suppressive mechanisms.

Keywords:
Fixational eye movementsMicrosaccadesSuperior colliculusSuppressionVisual attentionVisuomotor maps

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Area of Science:

  • Neuroscience
  • Vision Science
  • Computational Neuroscience

Background:

  • Small saccades (fixational saccades) are frequent during visual fixation.
  • These eye movements are linked to visual stimulation and cognitive state.
  • Visuomotor maps are neural structures involved in eye movement control.

Purpose of the Study:

  • To investigate how neural interactions within visuomotor maps influence the rate and direction of small fixational saccades.
  • To understand the impact of parafoveal and peripheral visual stimuli on fixational saccade behavior.

Main Methods:

  • Measured fixational saccades during prolonged fixation.
  • Presented pairs of visual stimuli with varying contrasts at parafoveal (0.8°) and peripheral (5°) eccentricities.
  • Analyzed saccade rate and direction bias in response to stimuli.

Main Results:

  • Fixational saccade direction was biased towards parafoveal stimuli (not peripheral) 100-250ms after onset.
  • Saccade rate towards parafoveal stimuli increased with contrast.
  • Peripheral stimuli suppressed saccade rate and direction bias via subtractive and divisive mechanisms, respectively.

Conclusions:

  • Neural interactions within visuomotor maps shape fixational saccade characteristics.
  • Suppressive interactions involve both rate reduction and direction bias modulation.
  • Findings constrain computational models of population coding for fixational eye movements.