Automating Stimulation Frequency Selection for SSVEP-Based Brain-Computer Interfaces
Published 2023 View Full Article
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Title
Automating Stimulation Frequency Selection for SSVEP-Based Brain-Computer Interfaces
Authors
Keywords
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Journal
Algorithms
Volume 16, Issue 11, Pages 502
Publisher
MDPI AG
Online
2023-10-29
DOI
10.3390/a16110502
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- (2012) Ronald N. Goodman et al. INTERNATIONAL JOURNAL OF PSYCHOPHYSIOLOGY
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