Convex Neural Codes in Dimension 1
Combinatorics
2017-02-23 v1 Neurons and Cognition
Abstract
Neural codes are collections of binary strings motivated by patterns of neural activity. In this paper, we study algorithmic and enumerative aspects of convex neural codes in dimension 1 (i.e. on a line or a circle). We use the theory of consecutive-ones matrices to obtain some structural and algorithmic results; we use generating functions to obtain enumerative results.
Cite
@article{arxiv.1702.06907,
title = {Convex Neural Codes in Dimension 1},
author = {Zvi Rosen and Yan X. Zhang},
journal= {arXiv preprint arXiv:1702.06907},
year = {2017}
}
Comments
21 pages, 5 figures