Application of an effective neural network architecture based on deep learning algorithms for the development of a noninvasive neurocomputer interface
Abstract. The article highlights the relevance of the development of modern noninvasive neurocomputer interfaces and identifies a problem in their development, which is the low accuracy of decoding human brain activity using modern noninvasive bidirectional neurocomputer interfaces, which makes it d...
Main Authors: | Karandeev Denis, Karandeeva Irina, Bychkova Irina, Bazhenov Ruslan |
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Format: | Article |
Language: | English |
Published: |
EDP Sciences
2024-01-01
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Series: | ITM Web of Conferences |
Online Access: | https://www.itm-conferences.org/articles/itmconf/pdf/2024/02/itmconf_hmmocs2023_04001.pdf |
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