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Related Concept Videos

Depth Perception and Spatial Vision01:15

Depth Perception and Spatial Vision

Depth perception is the ability to perceive objects three-dimensionally. It relies on two types of cues: binocular and monocular. Binocular cues depend on the combination of images from both eyes and how the eyes work together. Since the eyes are in slightly different positions, each eye captures a slightly different image. This disparity between images, known as binocular disparity, helps the brain interpret depth. When the brain compares these images, it determines the distance to an object.
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Related Experiment Video

Updated: Jul 7, 2026

Investigating the Deployment of Visual Attention Before Accurate and Averaging Saccades via Eye Tracking and Assessment of Visual Sensitivity
06:46

Investigating the Deployment of Visual Attention Before Accurate and Averaging Saccades via Eye Tracking and Assessment of Visual Sensitivity

Published on: March 18, 2019

The peri-saccadic perception of objects and space.

Fred H Hamker1, Marc Zirnsak, Dirk Calow

  • 1Institute of Psychology, Westfälische Wilhelms-Universität Münster, Münster, Germany. fhamker@uni-muenster.de

Plos Computational Biology
|February 20, 2008
PubMed
Summary
This summary is machine-generated.

Peri-saccadic perception compresses visual space by altering receptive fields, enhancing local processing near saccade targets. This oculomotor feedback mechanism unifies explanations for spatial compression and improved object recognition during eye movements.

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Related Experiment Videos

Last Updated: Jul 7, 2026

Investigating the Deployment of Visual Attention Before Accurate and Averaging Saccades via Eye Tracking and Assessment of Visual Sensitivity
06:46

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Published on: March 18, 2019

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05:48

How to Build a Dichoptic Presentation System That Includes an Eye Tracker

Published on: September 6, 2017

Area of Science:

  • Neuroscience
  • Computational Vision
  • Perception

Background:

  • Eye movements significantly influence how we localize and recognize objects.
  • Perisaccadic phenomena, including spatial compression and enhanced recognition, have been explained by various independent mechanisms.

Purpose of the Study:

  • To provide a unified computational account of perisaccadic perception.
  • To explain spatial compression, receptive field dynamics, and improved object recognition using a single model.

Main Methods:

  • Developed a quantitative computational model simulating cortical cell population responses.
  • Investigated the role of oculomotor feedback in altering receptive field structures.

Main Results:

  • The model successfully explains spatial compression towards the saccade target.
  • Demonstrated improved object recognition near the saccade target through dynamic receptive field recruitment.
  • Showed that enhanced local processing capacity comes at the cost of spatial compression.

Conclusions:

  • Oculomotor feedback dynamically alters receptive field structure in visual areas.
  • This mechanism, rather than a spotlight attention model, explains perisaccadic perceptual effects.
  • Spatial compression is a consequence of locally enhanced visual processing during saccades.