Multiscale theory of synapse function with model reduction by machine learning — ERIC D MJOLSNESS (UNIVERSITY OF CALIFORNIA-IRVINE
Project Summary/Abstract This project constructs a unifying model that links synaptic morphodynamics, the fundamental process of learning and memory in the brain, to the underlying molecular signaling
| Project title | Multiscale theory of synapse function with model reduction by machine learning |
|---|---|
| Project number | 1RF1DA055668-01 |
| PI name | ERIC D MJOLSNESS |
| Institution | UNIVERSITY OF CALIFORNIA-IRVINE |
| Funding mechanism | RF1 |
| Agency | NIDA |
| Award amount | $1.13M |
| Fiscal year | 2021 |
| Project start | 2021-08-01T00:00:00 |
| Project end | 2026-07-31T00:00:00 |
| Abstract | Project Summary/Abstract This project constructs a unifying model that links synaptic morphodynamics, the fundamental process of learning and memory in the brain, to the underlying molecular signaling |
| Key terms | <3-D><3-Dimensional><3D><AD dementia><Actins><Aging><Algorithms><Alzheimer><Alzheimer Type Dementia> |
$799/mo
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