Understanding how brain circuits represent and process information
Statistical machine learning tools for understanding neural ensemble representations and dynamics
This study is looking at how different parts of the brain work together to help us think and act, and it aims to use new technology to better understand these processes, which could lead to improved treatments for people with cognitive disorders.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of California, San Francisco NIH-funded |
| Lab location | 1 site (San Francisco, United States) |
| Project ID | NIH-10510107 on NIH RePORTER |
What this research studies
This research investigates the complex networks of brain circuits that support various cognitive functions such as sensation, perception, and action. By measuring neuronal activity patterns and applying advanced statistical machine learning techniques, the study aims to develop models that can decode these patterns to reveal insights about how the brain processes information. Patients may benefit from improved understanding of brain function, which could lead to better treatments for cognitive disorders. The research employs innovative algorithms to enhance the accuracy of these models, addressing current limitations in the field.
Who could benefit from this research
Good fit: Ideal candidates for participation or benefit from this research include individuals with cognitive impairments or neurological conditions affecting brain function.
Not a fit: Patients with purely physical health issues unrelated to cognitive function may not receive any benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to breakthroughs in understanding and treating cognitive disorders by revealing how brain circuits function.
How similar studies have performed: Other research has shown success in using machine learning approaches to decode brain activity, indicating that this methodology has potential for significant advancements.
Where this research is happening
San Francisco, United States
- University of California, San Francisco — San Francisco, United States (Active)
Researchers
- Principal investigator: Frank, Loren M — University of California, San Francisco
- Study coordinator: Frank, Loren M
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 below.