The National Science Foundation (NSF) is providing a $300,000 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) federal grant program to the University of Pittsburgh. This 5-year award, effective October 1, 2024, will support research to develop analytical tools and computational models for understanding how the brain processes and routes sensory information across different regions. The project aims to investigate the mechanisms of selective attention and information flow in large-scale brain network models. Key activities include integrating neural activity and anatomical connectivity datasets, implementing spiking neuron network simulations, and applying information-theoretic analysis techniques. The educational components involve incorporating research findings into undergraduate coursework and conducting STEM outreach programs to inspire K-12 students, especially those from underrepresented backgrounds, to pursue computational neuroscience. No sub-awards are planned under this grant.
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