Understanding how brain activity is organized for efficient learning.
Official title: A multi-level framework for characterizing task-efficient coding geometry of neural population activities
Funded at New York University · NIH-11158577 · Data updated 2026-11-12
This study is looking at how our brains work when we learn, hoping to find ways to help people with cognitive disorders think and learn better.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | New York University NIH-funded |
| Lab location | 1 site (New York, United States) |
| Project start | August 1, 2024 |
| Project end | May 31, 2027 |
| Funding year | 2025 |
| Award (this year) | $324,446 |
| NIH project number | 5R01DA059220-02 |
| Project ID | NIH-11158577 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates include individuals with cognitive challenges or those interested in understanding brain function related to learning.
✕Less likely to help
Patients with acute neurological conditions or those not experiencing cognitive difficulties may not benefit from this research.
What this research studies
This research investigates the patterns of neural activity in the brain to understand how these patterns can be optimized for better learning and cognitive function. By using advanced computational models and machine learning techniques, the study aims to characterize the geometry of neural population activities across different brain regions. Patients may benefit from insights gained about how the brain processes information, potentially leading to improved treatments for cognitive disorders.
Why it matters
Potential benefit: If successful, this research could lead to enhanced learning strategies and therapies for cognitive impairments.
How similar studies have gone: Previous research in computational neuroscience has shown promise in understanding neural coding, suggesting that this approach could yield valuable insights.
Where this research is happening
-
New York University
New York, United States Active
Researchers
- Principal investigator: Chung, Sueyeon — New York University
- Study coordinator: Chung, Sueyeon
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About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page.