[HTML][HTML] Implementation of artificial intelligence and machine learning-based methods in brain–computer interaction

K Barnova, M Mikolasova, RV Kahankova… - Computers in Biology …, 2023 - Elsevier
Brain–computer interfaces are used for direct two-way communication between the human
brain and the computer. Brain signals contain valuable information about the mental state …

Invasive brain computer interface for motor restoration in spinal cord injury: a systematic review

JJ Levett, LM Elkaim, F Niazi, MH Weber… - … : Technology at the …, 2024 - Elsevier
Study design Systematic review of the literature. Objectives In recent years, brain-computer
interface (BCI) has emerged as a potential treatment for patients with spinal cord injury …

Dual regularized spatial-temporal features adaptation for multi-source selected cross-subject motor imagery EEG classification

T Luo - Expert Systems with Applications, 2024 - Elsevier
Feature adaptation plays crucial roles in the calibration process of motor imagery brain
computer interfaces (MI-BCIs). Due to the temporal varying and spatial coupling …

Harnessing the sensing and stimulation function of deep brain-machine interfaces: a new dawn for overcoming substance use disorders

D Chen, Z Zhao, J Shi, S Li, X Xu, Z Wu, Y Tang… - Translational …, 2024 - nature.com
Substance use disorders (SUDs) imposes profound physical, psychological, and
socioeconomic burdens on individuals, families, communities, and society as a whole, but …

Several inaccurate or erroneous conceptions and misleading propaganda about brain-computer interfaces

Y Chen, F Wang, T Li, L Zhao, A Gong… - Frontiers in Human …, 2024 - frontiersin.org
Brain-computer interface (BCI) is a revolutionizing human-computer interaction, which has
potential applications for specific individuals or groups in specific scenarios. Extensive …

[HTML][HTML] Brain–computer interfaces: the innovative key to unlocking neurological conditions

H Zhang, L Jiao, S Yang, H Li, X Jiang… - … Journal of Surgery, 2024 - journals.lww.com
Neurological disorders such as Parkinson's disease, stroke, and spinal cord injury can pose
significant threats to human mortality, morbidity, and functional independence. Brain …

A calibration-free hybrid BCI speller system based on high-frequency SSVEP and sEMG

R Zhang, G Dong, M Li, Z Tang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Hybrid brain-computer interface (hBCI) systems that combine steady-state visual evoked
potential (SSVEP) and surface electromyography (sEMG) signals have attracted attention of …

Robot-assisted implantation of a microelectrode array in the occipital lobe as a visual prosthesis

A Rocca, C Lehner, E Wafula-Wekesa, E Luna… - Journal of …, 2023 - thejns.org
The prospect of direct interaction between the brain and computers has been investigated in
recent decades, revealing several potential applications. One of these is sight restoration in …

[HTML][HTML] Optogenetic brain–computer interfaces

F Tang, F Yan, Y Zhong, J Li, H Gong, X Li - Bioengineering, 2024 - mdpi.com
The brain–computer interface (BCI) is one of the most powerful tools in neuroscience and
generally includes a recording system, a processor system, and a stimulation system …

A Comprehensive Taxonomy of Machine Consciousness

R Qin, C Zhou, M He - Information Fusion, 2025 - Elsevier
Abstract Machine consciousness (MC) is the ultimate challenge to artificial intelligence.
Although great progress has been made in artificial intelligence and robotics, consciousness …