Direct speech reconstruction from sensorimotor brain activity with optimized deep learning models

J Berezutskaya, ZV Freudenburg… - Journal of Neural …, 2023 - iopscience.iop.org
Objective. Development of brain–computer interface (BCI) technology is key for enabling
communication in individuals who have lost the faculty of speech due to severe motor …

Mind-Reading Machines: Promises, Pitfalls, and Solutions of Implementing Machine Learning in Mental Health

UM Mehta, KB Bagali, S Kommanapalli - AI, Consciousness and The New …, 2024 - Springer
The central premise of implementing machines to understand minds is perhaps based on
Emerson Pugh's (in) famous quote:“If the human brain were so simple that we could …

The feasibility of combining communication BCIs with FES for individuals with locked-in syndrome

E Canny, MJ Vansteensel, S van der Salm… - arXiv preprint arXiv …, 2023 - arxiv.org
Individuals with a locked-in state live with severe whole-body paralysis that limits their ability
to communicate with family and loved ones. Recent advances in the brain-computer …

Combining BCI with functional electrical stimulation for facial nerve paralysis in locked-in indviduals

EC Canny - 2023 - studenttheses.uu.nl
Locked-in syndrome (LIS) is a nervous system disorder that is characterised by loss of
voluntary muscle control, which can lead to whole body paralysis. Classical and incomplete …