Related Experiment Video
Updated: Sep 18, 2025
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Author Spotlight: Insights into Visual Cortex Research Through Wide-View fMRI Mapping
Published on: December 8, 2023
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In silico discovery of representational relationships across visual cortex
Alessandro T Gifford1,2,3, Maya A Jastrzębowska4, Johannes J D Singer4
1Institute of Psychology, Freie Universität Berlin, Berlin, Germany. alessandro.gifford@gmail.com.
Nature Human Behaviour
|June 25, 2025
Summary
Researchers explored visual cortex networks using relational neural control. This method revealed how different brain areas represent visual information, showing shared and unique content based on network structure.
Area of Science:
- Neuroscience
- Cognitive Science
- Computational Neuroscience
Background:
- Human vision relies on interconnected cortical brain areas for visual information processing.
- Understanding the representational relationships between these visual areas remains a challenge.
Purpose of the Study:
- To investigate the representational relationships among visual cortex areas using functional magnetic resonance imaging (fMRI).
- To develop and apply a novel method, relational neural control, for exploring these relationships.
Main Methods:
- Developed and utilized relational neural control to generate and analyze in silico fMRI responses.
- Employed controlling images to identify shared and unique representational content across visual areas.
- Validated in silico findings using in vivo fMRI data from independent participants.
Main Results:
- Discovered a network-level configuration of representational relationships within the visual cortex.
- Showed that shared and unique representational content correlate with cortical distance, categorical selectivity, and hierarchical position.
- Confirmed that relational neural control effectively predicts in vivo brain activity patterns.
Conclusions:
- Visual areas jointly represent the world through an interconnected network.
- Relational neural control is a powerful tool for dissecting representational relationships in neural systems.
- The study provides insights into the principles governing visual information integration across the cortex.
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