Strongly maximal intersection-complete neural codes on grids are convex
Combinatorics
2016-10-20 v1
Abstract
The brain encodes spacial structure through a combinatorial code of neural activity. Experiments suggest such codes correspond to convex areas of the subject's environment. We present an intrinsic condition that implies a neural code may correspond to a convex space and give a bound on the minimal dimension underlying such a realization.
Cite
@article{arxiv.1610.06114,
title = {Strongly maximal intersection-complete neural codes on grids are convex},
author = {Robert Williams},
journal= {arXiv preprint arXiv:1610.06114},
year = {2016}
}
Comments
13 pages, 12 figures