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  Single-Trial MEG Data Can Be Denoised Through Cross-Subject Predictive Modeling

Ravishankar, S., Toneva, M., & Wehbe, L. (2021). Single-Trial MEG Data Can Be Denoised Through Cross-Subject Predictive Modeling. Frontiers in Computational Neuroscience, 15: 737324. doi:10.3389/fncom.2021.737324.

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Genre: Journal Article
Latex : Single-Trial {MEG} Data Can Be Denoised Through Cross-Subject Predictive Modeling

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Copyright © 2021 Ravishankar, Toneva and Wehbe. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
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 Creators:
Ravishankar, Srinivas1, Author
Toneva, Mariya1, Author           
Wehbe, Leila1, Author
Affiliations:
1External Organizations, ou_persistent22              

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Language(s): eng - English
 Dates: 2021
 Publication Status: Published online
 Pages: -
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 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: Ravishankar21
DOI: 10.3389/fncom.2021.737324
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Title: Frontiers in Computational Neuroscience
  Abbreviation : Front Comput Neurosci
Source Genre: Journal
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Publ. Info: Lausanne : Frontiers Research Foundation
Pages: 12 p. Volume / Issue: 15 Sequence Number: 737324 Start / End Page: - Identifier: Other: 1662-5188
CoNE: https://pure.mpg.de/cone/journals/resource/1662-5188