This Project Grant award for $370,687 from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports the development of a multiscale modeling framework to analyze brain structure and function, with a focus on understanding atypical neural activity in autism. The project aims to: 1) implement a multiscale forward model integrating cellular mechanisms and whole-brain dynamics using spiking neural networks and neural masses, 2) leverage deep Bayesian learning to infer physiologically relevant latent variables from simulated EEG data, and 3) investigate the relationship between excitatory/inhibitory imbalance and long-range effective connectivity in autism using EEG data. This research is expected to advance computational neuroscience methods and data analysis, with potential societal benefits for understanding and addressing psychiatric, neurological, and neurodevelopmental conditions. The project is led by the University of South Carolina and is scheduled for completion by June 30, 2030.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $370.7k | 6/25/25 |