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Related Concept Videos

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Perceptual Constancy

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Perceptual constancy is the ability to recognize that objects remain consistent and unchanged even when their appearance varies due to changes in sensory input. There are four main types of perceptual constancy: size constancy, shape constancy, color constancy, and brightness constancy.
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Related Experiment Video

Updated: Sep 27, 2025

Eye Tracking During Visually Situated Language Comprehension: Flexibility and Limitations in Uncovering Visual Context Effects
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Robust Coding of Eye Position in Posterior Parietal Cortex despite Context-Dependent Tuning.

Jamie R McFadyen1, Barbara Heider2, Anushree N Karkhanis2

  • 1Neuroscience Program, Biomedicine Discovery Institute, Department of Physiology, Monash University, Clayton, VIC, 3800, Australia.

The Journal of Neuroscience : the Official Journal of the Society for Neuroscience
|April 12, 2022
PubMed
Summary

Neural representations of eye position in the posterior parietal cortex (PPC) remain robust across different behavioral contexts. This stability suggests reliable spatial information processing for sensorimotor transformations, crucial for tasks like reaching and navigation.

Keywords:
BayesianPPCdecodeeye positiongazeorthogonal

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Area of Science:

  • Neuroscience
  • Cognitive Neuroscience
  • Systems Neuroscience

Background:

  • Neurons in the posterior parietal cortex (PPC) process sensory information, body posture, and action plans.
  • Nuisance variables, like eye position, can corrupt relevant information due to context-dependent neural activity.
  • Understanding how the PPC represents gaze direction across contexts is vital for spatial perception and brain-computer interfaces.

Purpose of the Study:

  • To investigate the robustness of eye position representation in the macaque PPC across various behavioral and sensory contexts.
  • To determine if the coding of eye position is invariant to task context in the PPC.
  • To assess the reliability of PPC population codes for sensorimotor transformations.

Main Methods:

  • Utilized demixed principal component analysis (dPCA) on neural spike counts from male macaque PPC.
  • Defined contexts based on different stages of a visually guided reaching task.
  • Employed context-naive decoders to estimate eye position across contexts.

Main Results:

  • Eye position was robustly represented in the PPC population response across different task contexts.
  • The subspace encoding eye position was orthogonal to the subspace encoding task context.
  • Context-naive decoders accurately estimated eye position, with errors comparable to context-optimized decoders.

Conclusions:

  • Population codes in the PPC effectively shield eye position signals from contextual crosstalk.
  • The PPC provides reliable egocentric spatial information invariant to behavioral and sensory contexts.
  • These findings support the role of PPC in robust sensorimotor transformations and spatial cognition.