Computational Modeling Core for Center-Wide Data Analysis
Official title: Computational Modeling Core (C)
Funded at Princeton University · NIH-11373056 · Data updated 2026-11-12
A center-wide computational modeling core will develop and provide data-analysis tools using latent cause models to understand learning and decision-making in mental illness, based on human and animal data.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Princeton University NIH-funded |
| Lab location | 1 site (Princeton, UNITED STATES) |
| Project start | August 12, 2024 |
| Project end | July 31, 2029 |
| Funding year | 2026 |
| Award (this year) | $282,470 |
| NIH project number | 5P50MH136296-03 |
| Project ID | NIH-11373056 on NIH RePORTER |
Who could benefit from this research
✓Could help
Individuals with mental health concerns who participate in related projects or provide usable behavioral/brain data for modeling.
✕Less likely to help
People not involved in cognitive or neuroimaging studies or without conditions studied by the Center may not directly benefit.
What this research studies
If you have a mental health condition, this core aims to connect your behavior and brain data to formal models that explain how you learn and make choices. Researchers will create a unified latent cause model and user-friendly tools to estimate its parameters from behavior and brain measurements. This work could ultimately help identify why certain symptoms appear and how they relate to underlying brain processes. The center will use these models to compare healthy individuals with those who have mental illnesses. Core C will support all Projects in the Center with modeling expertise and software.
Why it matters
Potential benefit: If successful, this core could yield clearer explanations of cognitive processes in mental illness and inform future treatments by revealing underlying mechanisms.
How similar studies have gone: Previous studies using latent cause models have shown promise in linking behavior and brain data to psychiatric symptoms, though full translational impact remains to be demonstrated.
Where this research is happening
-
Princeton University
Princeton, United States Active
Researchers
- Principal investigator: Daw, Nathaniel Douglass — Princeton University
- Study coordinator: Daw, Nathaniel Douglass
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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.