NIH R01 · 2024
Project Summary (Abstract) We propose a multi-scale (from neurons to regions) theory that enables us to analyze neural computations from large sets of neurons engaging in a variety of simple to complex tasks. Advances in recording techniques in neuroscience have enabled simultaneous recordings of a large number of neural activities, providing greater access to signals in the brain, but also presenting a challenge in analyzing these high-dimensional neural activities in an interpretable way. Recently, we have developed a theoretical framework, which we call the Manifold Capacity Theory (MCT) framework, to analytically connect the geometric structure of neural activities to the capacity of a…
From the public funding record at NIH RePORTER. Describes the funded project, not the reviews below.