Recently, I've been fascinated by the mathematical structures called sheaves. Originating in algebraic geometry, sheaves are incredibly
powerful tools that can connect seemingly distant ideas in beautiful ways. Their ability to fit into so many mathematical concepts comes
at the cost of being very abstract and hard to pin down. Just look at the
mathematical definition of a sheaf. It makes like no sense unless you already know what a sheaf is. In short, a sheaf is a tool that
allows us to look at something at a very small resolution and stitch together our "local" observations to construct a "global" understanding
of the object in question.

Currently, I'm thinking of ways we can use sheaves and all that they can do for us to study neural systems and neural populations. It makes
sense