This valuable study uses mathematical modeling and analysis to address the question of how neural circuits generate distinct low-dimensional, sequential neural dynamics that can change on fast, ...

In this paper, we comment on the complexity of the invariant subspaces (under the bilateral Dirichlet shift f → ζ f) of the harmonic Dirichlet space D. Using the sampling theory of Seip and some work ...

Subspace codes are a class of error-correcting codes defined over the set of subspaces of a finite vector space. They have emerged as a powerful tool in network coding, where information is ...