Training researchers in computational neuroscience to understand brain disorders
Official title: Interdisciplinary Training in Computational Neuroscience
Funded at Carnegie-Mellon University · NIH-10929541 · Data updated 2026-11-12
This study is creating training programs for graduate 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 also includes a summer school for undergraduates to encourage teamwork among students from different fields.
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) | $329,150 |
| NIH project number | 5R90DA060340-02 |
| Project ID | NIH-10929541 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for participation or benefit from this research include graduate students and undergraduates interested in neuroscience and computational methods.
✕Less likely to help
Patients with brain disorders who are not involved in academic training or research may not directly benefit 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 with the necessary skills to analyze and model complex brain data, which is crucial for understanding various brain disorders. The program includes a summer school for undergraduates, fostering a collaborative environment among students from diverse academic backgrounds. By enhancing the workforce in this field, the research seeks to address the growing need for expertise in analyzing large datasets related to brain function and 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 success in training researchers and improving 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
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.