Reconstructing language from brain signals and deconstructing adversarial thought-reading

Tang et al.(1) report a noninvasive brain-computer interface (BCI) that reconstructs perceived and intended continuous language from semantic brain responses. The study offers new possibilities to radically facilitate neural speech decoder applications and addresses concerns about misuse in non-medi...

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Detalles Bibliográficos
Autores principales: Giraud, Anne-Lise, Su, Yaqing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Spotlight
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10394252/
https://www.ncbi.nlm.nih.gov/pubmed/37467714
http://dx.doi.org/10.1016/j.xcrm.2023.101115
Descripción
Sumario:Tang et al.(1) report a noninvasive brain-computer interface (BCI) that reconstructs perceived and intended continuous language from semantic brain responses. The study offers new possibilities to radically facilitate neural speech decoder applications and addresses concerns about misuse in non-medical scenarios.

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