Results 71 to 80 of about 17,170 (155)

Implantable brain computer interface: Challenges to neurotechnology translation

open access: yesNeurobiology of Disease, 2010
This article reviews three concepts related to implantable brain computer interface (BCI) devices being designed for human use: neural signal extraction primarily for motor commands, signal insertion to restore sensation, and technological challenges ...
Peter Konrad, Todd Shanks
doaj   +1 more source

An Ultra‐Flexible Neural Electrode with Bioelectromechanical Compatibility and Brain Micromotion Detection

open access: yesAdvanced Healthcare Materials, Volume 15, Issue 7, 16 February 2026.
Neural electrodes face a mechanical mismatch with brain tissue. This study proposes a bioelectromechanical coupling strategy using an ultra‐flexible electrode designed for synchronized motion. Optimized to match brain tissue stiffness, it achieves dual signal acquisition and micromotion sensing, with characterized interfacial forces and piezoresistive ...
Donglei Chen   +11 more
wiley   +1 more source

Reliable AI Platform for Monitoring BCI Caused Brain Injury and Providing Real‐Time Protection

open access: yesAdvanced Science, Volume 13, Issue 7, 3 February 2026.
BrainGuard enables real‐time and interpretable assessment of brain injury caused by brain computer interface (BCI). Using feature‐based Gaussian process (GP) emulators trained on limited biomechanical data, it efficiently predicts full‐field strain and constructs patient‐specific digital brain twins to support clinical diagnosis and long‐term BCI ...
Chufan He   +3 more
wiley   +1 more source

Brain Computer Interface Learning for Systems Based on Electrocorticography and Intracortical Microelectrode Arrays

open access: yesFrontiers in Integrative Neuroscience, 2015
A brain-computer interface (BCI) system transforms neural activity into control signals for external devices in real time. A BCI user needs to learn to generate specific cortical activity patterns to control external devices effectively.
Shivayogi V Hiremath   +23 more
doaj   +1 more source

Optimizing Computer–Brain Interface Parameters for Non-invasive Brain-to-Brain Interface

open access: yesFrontiers in Neuroinformatics, 2020
A non-invasive, brain-to-brain interface (BBI) requires precision neuromodulation and high temporal resolution as well as portability to increase accessibility. A BBI is a combination of the brain–computer interface (BCI) and the computer–brain interface
John LaRocco, Dong-Guk Paeng
doaj   +1 more source

Magnetoelectric Nanotherapy Achieves Complete Tumor Ablation and Prolonged Survival in Pancreatic Cancer Murine Models

open access: yesAdvanced Science, Volume 13, Issue 9, 13 February 2026.
Magnetoelectric nanoparticles (MENPs) serve as externally controlled, MRI‐activated theranostic agents for targeted cancer therapy by inducing electric field‐based ablation in solid tumors. MENPs enable simultaneous precise tumor ablation and MRI signal modulation, allowing real‐time treatment monitoring and prediction of therapeutic outcomes with no ...
John Michael Bryant   +28 more
wiley   +1 more source

Riemannian Geometry for the Classification of Brain States with Intracortical Brain Recordings

open access: yesAdvanced Intelligent Systems, Volume 8, Issue 2, February 2026.
Geometric machine learning is applied to decode brain states from invasive intracortical neural recordings, extending Riemannian methods to the invasive regime where data is scarcer and less stationary. A Minimum Distance to Mean classifier on covariance manifolds uses geodesic distances to outperform convolutional neural networks while reducing ...
Arnau Marin‐Llobet   +9 more
wiley   +1 more source

Neurotechnology Governance in the United States: Gaps and Opportunities

open access: yesBioethics, Volume 40, Issue 2, Page 225-235, February 2026.
ABSTRACT Neuroscience's accelerating advances have reached a pivotal point in the study of the human brain, including neurotechnologies capable of recording large amounts of data and acting with greater precision. However, the use of neurotechnology has raised a number of ethical, legal, and social implications (ELSI).
Laura Y. Cabrera   +6 more
wiley   +1 more source

A Literature Survey on Potential Private User Information Leakage in Metaverse Applications

open access: yesAdvanced Intelligent Systems, Volume 8, Issue 1, January 2026.
This survey explores potential privacy risks in the Metaverse, focusing on personal data inferred from virtual reality headsets embedded with passive brain‐computer interfaces (BCI). It reviews how age, gender, and ethnicity can be predicted using neurophysiological signals, (e.g., electroencephalogram). The survey also explores future threats from non‐
Mina Jaberi, Tiago H. Falk
wiley   +1 more source

EXPERIMENTAL AND THEORETICAL FOUNDATIONS AND PRACTICAL IMPLEMENTATION OF TECHNOLOGY BRAIN-COMPUTER INTERFACE

open access: yesБюллетень сибирской медицины, 2013
Technology brain-computer interface (BCI) allow saperson to learn how to control external devices via thevoluntary regulation of own EEG directly from the brain without the involvement in the process of nerves and muscles.
A. Ya. Kaplan   +6 more
doaj   +1 more source

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