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Spatiotemporal transformations for gaze control.

Amirsaman Sajad1,2, Morteza Sadeh1,3, John Douglas Crawford1,4

  • 1Centre for Vision Research, York University, Toronto, ON, Canada.

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Summary

This study introduces a new method to track gaze coding transformations in real-time. It reveals how spatial information evolves from target to gaze, impacting accuracy in sensorimotor control.

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Area of Science:

  • Neuroscience
  • Systems Neuroscience
  • Computational Neuroscience

Background:

  • Sensorimotor transformations rely on precise spatiotemporal coordination of neural signals.
  • Assessing the spatial content of gaze control signals during natural movements is challenging.
  • Existing models and methods have limitations in testing these transformations under natural conditions.

Purpose of the Study:

  • To introduce and validate a novel method for simultaneously testing sensorimotor transformation models.
  • To track the evolving spatial continuum from visual target to motor gaze coding over time.
  • To compare spatiotemporal coding mechanisms in the primate frontal eye field (FEF) and superior colliculus (SC).

Main Methods:

  • Development of a new technique to analyze gaze control signals during natural, head-unrestrained conditions.
  • Simultaneous testing of multiple sensorimotor transformation models.
  • Tracking the spatial continuum from target (T) to future gaze coding (G) through time.

Main Results:

  • Confirmed preferential encoding of eye-centered, effector-independent parameters in FEF and SC.
  • Demonstrated, for the first time in ordinary gaze shifts, a spatial transformation from visual target to gaze coding.
  • Introduced T-G continuum models revealing task-dependent timing of this transformation (progressive vs. immediate).

Conclusions:

  • The spatiotemporal transformation for gaze involves a continuum from visual input to motor output.
  • Transformation timing is task-dependent, influenced by factors like memory delays.
  • Gaze control relies on both local and distributed neural processes, with noise accumulation leading to behavioral inaccuracies.