The state of clinical trials of implantable brain–computer interfaces

KM Patrick-Krueger, I Burkhart… - Nature reviews …, 2024 - nature.com
Implanted brain–computer interfaces (iBCIs) translate brain activity recorded intracranially
into commands for virtual or physical machines to restore or rehabilitate motor, sensory or …

[HTML][HTML] Review on the use of brain computer interface rehabilitation methods for treating mental and neurological conditions

V Khorev, S Kurkin, A Badarin, V Antipov… - Journal of Integrative …, 2024 - imrpress.com
This review provides a comprehensive examination of recent developments in both
neurofeedback and brain-computer interface (BCI) within the medical field and …

[HTML][HTML] MuMCyp_Net: A multimodal neural network for the prediction of Cyp450 inhibition

SN Njimbouom, JD Kim - Expert Systems with Applications, 2024 - Elsevier
Abstract The cytochrome P450 (CYP450) enzymes, heme-containing monooxygenases, are
indispensable in metabolizing a broad range of drugs and other xenobiotics. Nonetheless …

EEG Amplitude Modulation Analysis across Mental Tasks: Towards Improved Active BCIs

O Rosanne, A Alves de Oliveira, TH Falk - Sensors, 2023 - mdpi.com
Brain–computer interface (BCI) technology has emerged as an influential communication
tool with extensive applications across numerous fields, including entertainment, marketing …

Brain-inspired Computing Based on Machine Learning And Deep Learning: A Review

B Yu, S Zhang - arXiv preprint arXiv:2312.07213, 2023 - arxiv.org
The continuous development of artificial intelligence has a profound impact on biomedical
research and other fields. Brain-inspired computing is an important intersection of …

MuMCyp_Net:: A multimodal neural network for the prediction of Cyp450 inhibition

S Ngnamsie Njimbouom, JD Kim - 2024 - dl.acm.org
Abstract The cytochrome P450 (CYP450) enzymes, heme-containing monooxygenases, are
indispensable in metabolizing a broad range of drugs and other xenobiotics. Nonetheless …

An Approach to the Development of Motor Imagery Classifiers Based on the Nonlinear Dimensionality Reduction Algorithm

LA Demidova, RA Isaev… - 2023 5th International …, 2023 - ieeexplore.ieee.org
The article deals with the problem of classification of motor imageries using the brain-
computer interface (BCI). An approach to the development of motor imagery classifiers is …

Towards developing a robust and generalizable brain computer interface

AD Neumann - 2023 - research-collection.ethz.ch
Recent advances in brain computer interfaces (BCI) have been shown to enable control of
external prosthesis, restore paralyzed limb movements and to improve communication. In …

Neural Decoding and Understanding via Deep Learning

C Le - 2024 - search.proquest.com
This thesis introduces innovative deep learning techniques for neural decoding and
understanding, applying these methods across auditory and visual modalities. The research …

[PDF][PDF] PREDICTORS OF ECOG-BCI PERFORMANCES ACROSS SUBJECTS AND SESSIONS DERIVED FROM IDLE STATE CHARACTERISTICS

L Struber, F Martel, S Karakas, V Juillard, A Bellicha… - researchgate.net
Comprehension of performance variabilities across subjects and sessions is crucial for real
life brain-computer-interfaces (BCI) applications. This study compared three subjects that …