Journal ID (nlm-ta): PLoS Comput Biol
Journal ID (iso-abbrev): PLoS Comput Biol
Journal ID (publisher-id): plos
Title:
PLoS Computational Biology
Publisher:
Public Library of Science
(San Francisco, CA USA
)
ISSN
(Print):
1553-734X
ISSN
(Electronic):
1553-7358
Publication date Collection:
September
2021
Publication date
(Electronic):
2
September
2021
Volume: 17
Issue: 9
Electronic Location Identifier: e1008710
Affiliations
[1
]
Department of Neurological Surgery, Mayo Clinic, Rochester, Minnesota, United States
of America
[2
]
Department of Biomedical Engineering & Physiology, Mayo Clinic, Rochester, Minnesota,
United States of America
[3
]
Google Research, Brain Team, Berlin, Germany
[4
]
Machine Learning Group, Department of Computer Science, Berlin Institute of Technology,
Berlin, Germany
[5
]
Department of Artificial Intelligence, Korea University, Seoul, Republic of Korea
[6
]
Max Planck Institute for Informatics, Saarbrücken, Germany
University of Groningen, NETHERLANDS
Author notes
The authors have declared that no competing interests exist.
Author information
Article
Publisher ID:
PCOMPBIOL-D-21-00124
DOI: 10.1371/journal.pcbi.1008710
PMC ID: 8412306
PubMed ID: 34473701
SO-VID: 67c026b2-4030-4d51-a199-e5f823936ed9
Copyright © © 2021 Miller et al
License:
This is an open access article distributed under the terms of the
Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided
the original author and source are credited.
Funded by:
Van Wagenen Society
Award Recipient
:
ORCID: https://orcid.org/0000-0002-6687-6422
Kai J. Miller
Funded by:
Brain Research Foundation (US)
Award ID: Fay/Frank Seed Grant
Award Recipient
:
ORCID: https://orcid.org/0000-0002-6687-6422
Kai J. Miller
Funded by:
funder-id http://dx.doi.org/10.13039/100000874, Brain and Behavior Research Foundation;
Award ID: NARSAD Young Investigator Grant
Award Recipient
:
ORCID: https://orcid.org/0000-0002-6687-6422
Kai J. Miller
Funded by:
funder-id http://dx.doi.org/10.13039/100000002, National Institutes of Health;
Award ID: NCATS CTSA KL2 TR002379
Award Recipient
:
ORCID: https://orcid.org/0000-0002-6687-6422
Kai J. Miller
Funded by:
funder-id http://dx.doi.org/10.13039/100000002, National Institutes of Health;
Award ID: NIMH CRCNS R01MH122258-01
Award Recipient
:
ORCID: https://orcid.org/0000-0002-8683-8909
Dora Hermes
Funded by:
institute of information & communications technology planning & evaluation
Award ID: 2017-0-00451
Award Recipient
:
ORCID: https://orcid.org/0000-0002-6687-6422
Kai J. Miller
Funded by:
institute of information & communications technology planning & evaluation
Award ID: 2019-0-00079
Award Recipient
:
ORCID: https://orcid.org/0000-0002-3861-7685
Klaus-Robert Müller
Funded by:
German Ministry for Education and Research
Award ID: 01IS14013A-E, 01GQ1115, 01GQ0850, 01IS18025A, 031L0207D, 01IS18037A
Award Recipient
:
ORCID: https://orcid.org/0000-0002-3861-7685
Klaus-Robert Müller
Funded by:
German Research Foundation
Award ID: Math+, EXC 2046/1, Project ID 390685689
Award Recipient
:
ORCID: https://orcid.org/0000-0002-3861-7685
Klaus-Robert Müller
KJM was supported by the Van Wagenen Fellowship, the Brain Research Foundation with
a Fay/Frank Seed Grant, and the Brain & Behavior Research Foundation with a NARSAD
Young Investigator Grant. This work was also supported by NIH-NCATS CTSA KL2 TR002379
(KJM). DH was supported by the NIH-NIMH CRCNS R01MH122258-01. Manuscript contents
are solely the responsibility of the authors and do not necessarily represent the
official views of the NIH. KRM was supported in part by the Institute of Information
& Communications Technology Planning & Evaluation (IITP) grant funded by the Korea
Government (No. 2017-0-00451, Development of BCI based Brain and Cognitive Computing
Technology for Recognizing User’s Intentions using Deep Learning) and (No. 2019-0-00079,
Artificial Intelligence Graduate School Program, Korea University), and by the German
Ministry for Education and Research (BMBF) under Grants 01IS14013A-E, 01GQ1115, 01GQ0850,
01IS18025A, 031L0207D and 01IS18037A; the German Research Foundation (DFG) under Grant
Math+, EXC 2046/1, Project ID 390685689. The funders had no role in study design,
data collection and analysis, decision to publish, or preparation of the manuscript.
Subject:
Research Article
Subject:
Medicine and Health Sciences
Subject:
Surgical and Invasive Medical Procedures
Subject:
Functional Electrical Stimulation
Subject:
Physical Sciences
Subject:
Chemistry
Subject:
Electrochemistry
Subject:
Electrode Potentials
Subject:
Biology and Life Sciences
Subject:
Physiology
Subject:
Electrophysiology
Subject:
Membrane Potential
Subject:
Evoked Potentials
Subject:
Biology and Life Sciences
Subject:
Physiology
Subject:
Electrophysiology
Subject:
Neurophysiology
Subject:
Evoked Potentials
Subject:
Biology and Life Sciences
Subject:
Neuroscience
Subject:
Neurophysiology
Subject:
Evoked Potentials
Subject:
Physical Sciences
Subject:
Mathematics
Subject:
Statistics
Subject:
Statistical Noise
Subject:
Computer and Information Sciences
Subject:
Neural Networks
Subject:
Biology and Life Sciences
Subject:
Neuroscience
Subject:
Neural Networks
Subject:
Biology and Life Sciences
Subject:
Physiology
Subject:
Electrophysiology
Subject:
Biology and Life Sciences
Subject:
Neuroscience
Subject:
Brain Mapping
Subject:
Electrocorticography
Subject:
Research and Analysis Methods
Subject:
Imaging Techniques
Subject:
Neuroimaging
Subject:
Electrocorticography
Subject:
Biology and Life Sciences
Subject:
Neuroscience
Subject:
Neuroimaging
Subject:
Electrocorticography
Subject:
Engineering and Technology
Subject:
Signal Processing
Subject:
Signal to Noise Ratio