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Bracket Coding: An Emergent Balance Between Temporal Integration and Segregation in Early Visual Population Activity
Toktam Samiei1, Hafiz Fareed Ahmed1, Edward Zagha2,3
1Department of Mechanical Engineering, University of California Riverside, USA.
Biorxiv : the Preprint Server for Biology
|June 12, 2026
Summary
Researchers discovered a new brain coding system called "bracket coding" that integrates rate and temporal information across visual areas. This dynamic, synchronized neural activity offers a novel perspective on how the brain processes sensory input.
Area of Science:
- Neuroscience
- Computational Neuroscience
- Systems Neuroscience
Background:
- The neural code, or how the brain encodes information, remains a fundamental question in neuroscience.
- Existing models often focus on either rate coding or temporal coding, but a unified dynamic scheme is debated.
Purpose of the Study:
- To investigate the principles of sensory information encoding in the mammalian brain.
- To identify a dynamic coding scheme integrating rate and temporal information across visual processing areas.
Main Methods:
- Utilized large-scale Neuropixels recordings from the Allen Institute Visual Coding dataset.
- Analyzed neural activity across thalamus, primary visual cortex, and higher-order visual areas in mice.
- Validated findings using an independent dataset from the International Brain Laboratory consortium.
- Developed a computational model to explain the observed neural activity patterns.
Main Results:
- Identified a novel 'bracket coding' scheme characterized by temporally coordinated, rate-coded bursts synchronized across neural populations.
- Demonstrated the robustness and generality of bracket coding across different visual tasks and brain regions.
- Showcased bracket coding's optimality for information decoding and its hierarchical organization.
- Confirmed coherence with low-frequency oscillations and long-range synchrony.
Conclusions:
- The brain employs a dynamic, fast-switching integration of rate and temporal coding, termed bracket coding.
- This coding scheme is widespread across visual processing areas and optimal for information representation.
- Bracket coding offers a new framework for understanding neural computation with implications for neuroengineering.
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