CRCNS Research Proposal: A Unified Framework for Unsupervised Sparse-to-dense Brain Image — NSF Award to University of Illinois at
Understanding how information is processed and propagated in neural circuits in the brain, requires the connections among extremely large numbers of densely packed, intermingled neurons to be accurately mapped out. Despite the century-long effort to map brain circuits, dissection of these complex networks remains techn
| Award title | CRCNS Research Proposal: A Unified Framework for Unsupervised Sparse-to-dense Brain Image |
|---|---|
| Award ID | 2525840 |
| Awardee | University of Illinois at Chicago |
| City | CHICAGO |
| State | IL |
| Amount obligated | $807,867 |
| Principal investigator | Yan Yan |
| Program | Innovation: Bioinformatics, CRCNS-Computation Neuroscience |
| Start date | 10/01/2024 |
| Abstract | Understanding how information is processed and propagated in neural circuits in the brain, requires the connections among extremely large numbers of densely packed, intermingled neurons to be accurately mapped out. Despite the century-long effort to map brain circuits, dissection of these complex networks remains technically challenging and time-consuming. This project builds on recent advances in genetic, imaging, and computational methods to develop a unified framework for reliable reconstruct |
| Source | NSF Awards |
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