Using machine learning to analyze how brain networks change under different conditions
Official title: Machine Learning for Analyzing State Dependent Neuronal Network Dynamics
Funded at Boston University (Charles River Campus) · NIH-10919177 · Data updated 2026-11-12
This study is looking at how brain cells work together in different situations, using special technology to see their activity, and it's aimed at helping us understand more about how our brains function and behave.
Quick facts
| Grant type | Fellowship grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Boston University (Charles River Campus) NIH-funded |
| Lab location | 1 site (Boston, United States) |
| Project start | September 1, 2023 |
| Project end | August 31, 2025 |
| Funding year | 2024 |
| Award (this year) | $41,317 |
| NIH project number | 5F31MH133306-02 |
| Project ID | NIH-10919177 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals undergoing procedures that involve anesthesia or those participating in memory-related studies.
✕Less likely to help
Patients with stable neurological conditions who are not undergoing any experimental interventions may not benefit from this research.
What this research studies
This research investigates how neuronal networks in the brain respond to various experimental conditions using advanced machine learning techniques. By employing calcium imaging, researchers can capture the activity of hundreds of neurons simultaneously, generating complex data. The study focuses on improving analysis methods to better understand the temporal dynamics of these networks, particularly in the primary somatosensory cortex and the hippocampus. The goal is to develop a more interpretable approach to analyze neuronal activity, which could lead to new insights into brain function and behavior.
Why it matters
Potential benefit: If successful, this research could enhance our understanding of brain dynamics, potentially leading to improved treatments for neurological conditions.
How similar studies have gone: Previous research has shown promise in using machine learning for analyzing neuronal data, suggesting that this approach could yield valuable insights.
Where this research is happening
-
Boston University (Charles River Campus)
Boston, United States Active
Researchers
- Principal investigator: Carbonero, Daniel David — Boston University (Charles River Campus)
- Study coordinator: Carbonero, Daniel David
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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.