Rethinking the Methods and Algorithms for Inner Speech Decoding and Making Them Reproducible

This study focuses on the automatic decoding of inner speech using noninvasive methods, such as Electroencephalography (<span style="font-variant: small-caps;">EEG</span>). While inner speech has been a research topic in philosophy and psychology for half a century, recent atte...

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Bibliographic Details
Published in:NeuroSci
Main Authors: Foteini Simistira Liwicki, Vibha Gupta, Rajkumar Saini, Kanjar De, Marcus Liwicki
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Subjects:
brain–computer interface (BCI)
inner speech
electroencephalography (EEG)
deep learning
Convolutional Neural Network (CNN)
independent component analysis
Online Access:https://www.mdpi.com/2673-4087/3/2/17

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https://www.mdpi.com/2673-4087/3/2/17

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