MEG Neural Decoding Pipeline: The Issues Residing Within The Data and Methods to Improve Your Decoding Accuracy
- DOI
- 10.1007/s10439-026-04093-x
- Published
- 2026-04-09
- Container
- Annals of Biomedical Engineering
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/s10439-026-04093-x,
title = {MEG Neural Decoding Pipeline: The Issues Residing Within The Data and Methods to Improve Your Decoding Accuracy},
author = {Dmitry Patashov and Li Liu and Jion Tominaga and Kai Nakajima and Hiroki Miyanaga and Shoji Tsunematsu and Takanori Kato and Keita Tanaka and Hiromu Sakai},
year = {2026},
journal = {Annals of Biomedical Engineering},
doi = {10.1007/s10439-026-04093-x},
url = {https://doi.org/10.1007/s10439-026-04093-x}
}RIS
TY - JOUR TI - MEG Neural Decoding Pipeline: The Issues Residing Within The Data and Methods to Improve Your Decoding Accuracy AU - Dmitry Patashov AU - Li Liu AU - Jion Tominaga AU - Kai Nakajima AU - Hiroki Miyanaga AU - Shoji Tsunematsu AU - Takanori Kato AU - Keita Tanaka AU - Hiromu Sakai PY - 2026 JO - Annals of Biomedical Engineering DO - 10.1007/s10439-026-04093-x UR - https://doi.org/10.1007/s10439-026-04093-x ER -
APA
Patashov, D., Liu, L., Tominaga, J., Nakajima, K., Miyanaga, H., Tsunematsu, S., Kato, T., Tanaka, K., & Sakai, H. (2026). MEG Neural Decoding Pipeline: The Issues Residing Within The Data and Methods to Improve Your Decoding Accuracy. Annals of Biomedical Engineering. https://doi.org/10.1007/s10439-026-04093-x
Source records
- crossref · retrieved 2026-09-27T03:16:07.991Z