License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.DISC.2019.48
URN: urn:nbn:de:0030-drops-113551
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2019/11355/
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Lynch, Nancy ; Wang, Mien Brabeeba

Brief Announcement: Integrating Temporal Information to Spatial Information in a Neural Circuit

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Abstract

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.

BibTeX - Entry

@InProceedings{lynch_et_al:LIPIcs:2019:11355,
  author =	{Nancy Lynch and Mien Brabeeba Wang},
  title =	{{Brief Announcement: Integrating Temporal Information to Spatial Information in a Neural Circuit}},
  booktitle =	{33rd International Symposium on Distributed Computing (DISC 2019)},
  pages =	{48:1--48:3},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-126-9},
  ISSN =	{1868-8969},
  year =	{2019},
  volume =	{146},
  editor =	{Jukka Suomela},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2019/11355},
  URN =		{urn:nbn:de:0030-drops-113551},
  doi =		{10.4230/LIPIcs.DISC.2019.48},
  annote =	{Keywords: Spiking Neural Network, Distributed Algorithm, Biological Networks}
}

Keywords: Spiking Neural Network, Distributed Algorithm, Biological Networks
Collection: 33rd International Symposium on Distributed Computing (DISC 2019)
Issue Date: 2019
Date of publication: 08.10.2019

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