Flexible electronics and devices as human–machine interfaces for medical robotics
Medical robots are invaluable players in non‐pharmaceutical treatment of disabilities.
Particularly, using prosthetic and rehabilitation devices with human–machine interfaces can …
Particularly, using prosthetic and rehabilitation devices with human–machine interfaces can …
Data augmentation for deep-learning-based electroencephalography
Background Data augmentation (DA) has recently been demonstrated to achieve
considerable performance gains for deep learning (DL)—increased accuracy and stability …
considerable performance gains for deep learning (DL)—increased accuracy and stability …
[HTML][HTML] BCI for stroke rehabilitation: motor and beyond
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 …
major socio-economic burden globally. Stroke frequently results in multifaceted impairments …
Interface, interaction, and intelligence in generalized brain–computer interfaces
A brain–computer interface (BCI) establishes a direct communication channel between a
brain and an external device. With recent advances in neurotechnology and artificial …
brain and an external device. With recent advances in neurotechnology and artificial …
State-dependent effects of neural stimulation on brain function and cognition
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 …
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
Multimodal signals are powerful for emotion recognition since they can represent emotions
comprehensively. In this article, we compare the recognition performance and robustness of …
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
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 …
several neurological and neuropsychiatric disorders and for restoring lost function. However …
Modeling behaviorally relevant neural dynamics enabled by preferential subspace identification
Neural activity exhibits complex dynamics related to various brain functions, internal states
and behaviors. Understanding how neural dynamics explain specific measured behaviors …
and behaviors. Understanding how neural dynamics explain specific measured behaviors …
[HTML][HTML] Neural signal analysis with memristor arrays towards high-efficiency brain–machine interfaces
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 …
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
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 …
vision and promise for assisting patients in need to better their interaction with the …