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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.
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  1. Home
  3. Invariant Inter-subject Relational Structures In High Order Human Visual Cortex.
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  3. Invariant Inter-subject Relational Structures In High Order Human Visual Cortex.

Related Experiment Video

Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms
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Invariant inter-subject relational structures in high order human visual cortex.

Ofer Lipman1, Shany Grossman2,3, Doron Friedman4

  • 1Efi Arazi School of Computer Science, Reichman University, Herzliya, Israel.

Nature Communications
|August 27, 2025

View abstract on PubMed

Summary
This summary is machine-generated.

Individuals share a similar view of the world due to relational coding in the brain. This neural code, based on activation pattern similarities, enables cooperation and communication by ensuring consistent visual perception across people.

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Visual Perception

Background:

  • Shared perception is fundamental for human cooperation and communication.
  • Understanding invariant neural properties across individuals is key to deciphering visual perception.
  • Neural coding mechanisms underlying inter-subject commonalities remain largely unknown.

Purpose of the Study:

  • To identify the neural coding scheme most consistent across individuals' visual cortex.
  • To investigate the neural basis of shared visual perception.
  • To determine if relational coding underlies commonalities in visual processing.

Main Methods:

  • Intracranial recordings were obtained from 19 patients during a visual recognition task.
  • Analyzed 244 high-order visual contacts across three patient groups.
  • Compared the inter-subject consistency of relational coding, activation pattern coding, and linear coding.

    • Main Results:

    • Relational coding, defined by similarity distances between activation patterns, showed the highest consistency across individuals.
    • Activation pattern coding and linear coding demonstrated lower inter-subject consistency.
    • These findings indicate that relational coding is a prevalent neural representation.

    Conclusions:

    • Relational coding is supported as the primary neural code for shared perceptual content in the human brain.
    • This coding scheme explains the commonalities observed in visual perception across individuals.
    • The study provides insights into the neural basis of human cooperation and communication through shared visual experience.