학술논문
Imagined speech can be decoded from low- and cross-frequency intracranial EEG features
Document Type
article
Author
Source
Nature Communications, Vol 13, Iss 1, Pp 1-14 (2022)
Subject
Language
English
ISSN
2041-1723
Abstract
Reconstructing imagined speech from neural activity holds great promises for people with severe speech production deficits. Here, the authors demonstrate using human intracranial recordings that both low- and higher-frequency power and local cross-frequency contribute to imagined speech decoding.