Training programs in computational neuroscience to understand brain disorders
Official title: Interdisciplinary Training in Computational Neuroscience
Funded at Carnegie-Mellon University · NIH-11038947 · Data updated 2026-11-12
This study is creating training programs for students at Carnegie Mellon University and the University of Pittsburgh to help them learn how to analyze brain data, which is important for understanding brain disorders, and it encourages teamwork among students from different fields to tackle these challenges together.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Carnegie-Mellon University NIH-funded |
| Lab location | 1 site (Pittsburgh, United States) |
| Project start | September 15, 2023 |
| Project end | June 30, 2028 |
| Funding year | 2024 |
| Award (this year) | $267,120 |
| NIH project number | 3R90DA060340-02S1 |
| Project ID | NIH-11038947 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for participation or benefit from this research include graduate and undergraduate students interested in neuroscience and computational methods.
✕Less likely to help
Patients who are not involved in academic training or do not have an interest in neuroscience may not receive direct benefits from this research.
What this research studies
This research focuses on developing interdisciplinary training programs in computational neuroscience at Carnegie Mellon University and the University of Pittsburgh. It aims to equip graduate students and undergraduates with the necessary skills to analyze and model complex brain data, which is crucial for understanding various brain disorders. The program fosters collaboration among students from diverse academic backgrounds, enhancing their ability to tackle the challenges posed by large datasets in neuroscience. By training more researchers in this field, the project seeks to advance the understanding of brain function and its associated disorders.
Why it matters
Potential benefit: If successful, this research could lead to improved understanding and treatment of brain disorders through enhanced data analysis capabilities.
How similar studies have gone: Other research initiatives in computational neuroscience have shown promise in enhancing our understanding of brain disorders, indicating that this approach is both relevant and necessary.
Where this research is happening
-
Carnegie-Mellon University
Pittsburgh, United States Active
Researchers
- Principal investigator: Chase, Steven M — Carnegie-Mellon University
- Study coordinator: Chase, Steven M
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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.