Representing the dynamics of high-dimensional data with non-redundant wavelets

Jia, S, Li, X, Huang, T et al. (2 more authors) (2022) Representing the dynamics of high-dimensional data with non-redundant wavelets. Patterns. 100424. ISSN 2666-3899

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2021 The Author(s). This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND 4.0) (https://creativecommons.org/licenses/by-nc-nd/4.0/)
Keywords: neural coding; wavelet analysis; mutual information; conditional information; feature selection; dimensionality reduction; neural spikes; calcium imaging; ECoG
Dates:
  • Accepted: 9 December 2021
  • Published (online): 6 January 2022
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 04 Mar 2022 12:51
Last Modified: 04 Mar 2022 12:51
Status: Published online
Publisher: Cell Press (Elsevier)
Identification Number: https://doi.org/10.1016/j.patter.2021.100424

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