Flexible electronics and devices as human–machine interfaces for medical robotics

W Heng, S Solomon, W Gao - Advanced Materials, 2022 - Wiley Online Library
Medical robots are invaluable players in non‐pharmaceutical treatment of disabilities.
Particularly, using prosthetic and rehabilitation devices with human–machine interfaces can …

Data augmentation for deep-learning-based electroencephalography

E Lashgari, D Liang, U Maoz - Journal of Neuroscience Methods, 2020 - Elsevier
Background Data augmentation (DA) has recently been demonstrated to achieve
considerable performance gains for deep learning (DL)—increased accuracy and stability …

[HTML][HTML] BCI for stroke rehabilitation: motor and beyond

R Mane, T Chouhan, C Guan - Journal of neural engineering, 2020 - iopscience.iop.org
Stroke is one of the leading causes of long-term disability among adults and contributes to
major socio-economic burden globally. Stroke frequently results in multifaceted impairments …

Interface, interaction, and intelligence in generalized brain–computer interfaces

X Gao, Y Wang, X Chen, S Gao - Trends in cognitive sciences, 2021 - cell.com
A brain–computer interface (BCI) establishes a direct communication channel between a
brain and an external device. With recent advances in neurotechnology and artificial …

State-dependent effects of neural stimulation on brain function and cognition

C Bradley, AS Nydam, PE Dux… - Nature Reviews …, 2022 - nature.com
Invasive and non-invasive brain stimulation methods are widely used in neuroscience to
establish causal relationships between distinct brain regions and the sensory, cognitive and …

Comparing recognition performance and robustness of multimodal deep learning models for multimodal emotion recognition

W Liu, JL Qiu, WL Zheng, BL Lu - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Multimodal signals are powerful for emotion recognition since they can represent emotions
comprehensively. In this article, we compare the recognition performance and robustness of …

Modelling and prediction of the dynamic responses of large-scale brain networks during direct electrical stimulation

Y Yang, S Qiao, OG Sani, JI Sedillo… - Nature biomedical …, 2021 - nature.com
Direct electrical stimulation can modulate the activity of brain networks for the treatment of
several neurological and neuropsychiatric disorders and for restoring lost function. However …

Modeling behaviorally relevant neural dynamics enabled by preferential subspace identification

OG Sani, H Abbaspourazad, YT Wong, B Pesaran… - Nature …, 2021 - nature.com
Neural activity exhibits complex dynamics related to various brain functions, internal states
and behaviors. Understanding how neural dynamics explain specific measured behaviors …

[HTML][HTML] Neural signal analysis with memristor arrays towards high-efficiency brain–machine interfaces

Z Liu, J Tang, B Gao, P Yao, X Li, D Liu, Y Zhou… - Nature …, 2020 - nature.com
Brain-machine interfaces are promising tools to restore lost motor functions and probe brain
functional mechanisms. As the number of recording electrodes has been exponentially …

[HTML][HTML] Directly wireless communication of human minds via non-invasive brain-computer-metasurface platform

Q Ma, W Gao, Q Xiao, L Ding, T Gao, Y Zhou… - elight, 2022 - elight.springeropen.com
Brain-computer interfaces (BCIs), invasive or non-invasive, have projected unparalleled
vision and promise for assisting patients in need to better their interaction with the …