Brief announcement: Integrating temporal information to spatial information in a neural circuit
Author(s)
Lynch, Nancy Ann; Wang, Mien Brabeeba![Thumbnail](/bitstream/handle/1721.1/137573.2/LIPIcs-DISC-2019-48.pdf.jpg?sequence=2&isAllowed=y)
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© 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.
Date issued
2019Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer ScienceJournal
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