Brief announcement: Integrating temporal information to spatial information in a neural circuit
Name
LIPIcs-DISC-2019-48.pdf
Description
Published version
Size
439.14 KB
Format
Unknown
Checksum (MD5)
9e7bf2c673f9304faf9024bf14f0e8ce
Author(s)
Lynch, Nancy A.
Wang, Mien Brabeeba
Date Issued
2019
Journal
Leibniz International Proceedings in Informatics, LIPIcs
Citation
Lynch, N and Wang, MB. 2019. "Brief announcement: Integrating temporal information to spatial information in a neural circuit." Leibniz International Proceedings in Informatics, LIPIcs, 146.
Version
Final published version
Abstract
© Nancy Lynch and Mien Brabeeba Wang. In this paper, we consider networks of deterministic spiking neurons, firing synchronously at discrete times. We consider the problem of translating temporal information into spatial information in such networks, an important task that is carried out by actual brains. Specifically, we define two problems: “First Consecutive Spikes Counting” and “Total Spikes Counting”, which model temporal-coding and rate-coding aspects of temporal-to-spatial translation respectively. Assuming an upper bound of T on the length of the temporal input signal, we design two networks that solve two problems, each using O(log T) neurons and terminating in time T + 1. We also prove that these bounds are tight.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
Creative Commons Attribution 4.0 International license
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.4230/LIPIcs.DISC.2019.48
