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Related Concept Videos

Visual System01:26

Visual System

1.6K
Light enters the eye through the cornea, a transparent, dome-shaped surface covering the surface of the eyeball that helps to direct and focus incoming light. This light is then channeled toward the pupil, an adjustable opening whose size is controlled by the iris. The iris, a pigmented muscle, regulates the amount of light entering the eye by contracting or dilating the pupil, thereby ensuring optimal light levels for clear vision.
Once through the pupil, the light passes through the lens, a...
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Vision01:24

Vision

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Vision is the result of light being detected and transduced into neural signals by the retina of the eye. This information is then further analyzed and interpreted by the brain. First, light enters the front of the eye and is focused by the cornea and lens onto the retina—a thin sheet of neural tissue lining the back of the eye. Because of refraction through the convex lens of the eye, images are projected onto the retina upside-down and reversed.
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Related Experiment Video

Updated: Jan 8, 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

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Adaptive visual selection: Predictive control of visual attention.

Mario Treviño1

  • 1Laboratorio de Plasticidad Cortical y Aprendizaje Perceptual, Instituto de Neurociencias, Universidad de Guadalajara, Guadalajara, Jalisco, Mexico.

Neuroscience and Biobehavioral Reviews
|December 15, 2025
PubMed
Summary
This summary is machine-generated.

Visual attention is not just about reacting to stimuli but actively predicting and testing hypotheses. Gaze behavior, including fixation duration and saccade latency, reveals cognitive states like expectation and learning, shifting focus from salience to predictive processing.

Keywords:
Active inferenceAdaptive behaviorCortical feedbackEye-trackingGaze dynamicsPredictive processingVisual attentionVisual prioritization

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Computational Modeling

Background:

  • Traditional models explain visual prioritization via stimulus-driven salience.
  • Emerging evidence supports a predictive processing framework for gaze behavior.

Purpose of the Study:

  • Synthesize findings on predictive processing in visual attention.
  • Highlight the shift from salience to predictive models.
  • Discuss implications for neuroscience, AI, and clinical research.

Main Methods:

  • Review of neurophysiology, eye-tracking, and computational studies.
  • Analysis of gaze metrics (fixation duration, saccade latency, scanpath entropy).
  • Examination of experimental paradigms (probabilistic cueing, rule switching, uncertainty).

Main Results:

  • Gaze behavior reflects active inference, hypothesis testing, and prediction error minimization.
  • Metrics like fixation duration and saccade latency indicate cognitive states (expectation, surprise, learning).
  • Predictive frameworks involving hierarchical error signaling and feedback offer a unifying perspective.

Conclusions:

  • Visual attention is an active, predictive process, not passive salience detection.
  • Predictive gaze strategies are flexible and emerge early in development.
  • Disruptions in these strategies are observed in neuropsychiatric conditions.