Results 91 to 100 of about 2,171,414 (328)

Boosters of the metaverse: a review of augmented reality-based brain-computer interface

Brain-Apparatus Communication
Introduction The ultimate objective of the metaverse is to create a new digital life system using brain-computer interface (BCI) technology that integrates and even enhances reality and virtuality, among which the efficient and natural interaction ...
Zongxin Xu, Gaoxing Chen, Rui Zhang
doaj   +1 more source

Human-In-The-Loop Control and Task Learning for Pneumatically Actuated Muscle Based Robots

Frontiers in Neurorobotics, 2018
Pneumatically actuated muscles (PAMs) provide a low cost, lightweight, and high power-to-weight ratio solution for many robotic applications. In addition, the antagonist pair configuration for robotic arms make it open to biologically inspired control ...
Tatsuya Teramae, Koji Ishihara, Jan Babič, Jun Morimoto, Erhan Oztop, Erhan Oztop   +5 more
doaj   +1 more source

Effects of High-Definition Transcranial Direct-Current Stimulation on Resting-State Functional Connectivity in Patients With Disorders of Consciousness

Frontiers in Human Neuroscience, 2020
Recently a positive treatment effect on disorders of consciousness (DOCs) with high-definition transcranial direct-current stimulation (HD-tDCS) has been reported; however, the neural modulation mechanisms of this treatment’s efficacy need further ...
Rui Zhang, Rui Zhang, Lipeng Zhang, Lipeng Zhang, Yongkun Guo, Yongkun Guo, Li Shi, Li Shi, Jinfeng Gao, Jinfeng Gao, Xinjun Wang, Yuxia Hu, Yuxia Hu   +12 more
doaj   +1 more source

Multi-command Tactile Brain Computer Interface: A Feasibility Study

, 2013
The study presented explores the extent to which tactile stimuli delivered to the ten digits of a BCI-naive subject can serve as a platform for a brain computer interface (BCI) that could be used in an interactive application such as robotic vehicle ...
Cooper, Eric, Kryssanov, Victor, Makino, Shoji, Matsumoto, Yoshihiro, Mori, Hiromu, Ogawa, Hitoshi, Rutkowski, Tomasz M., Struzik, Zbigniew R.   +7 more
core   +1 more source

Micropatterned Biphasic Printed Electrodes for High‐Fidelity on‐Skin Bioelectronics

Advanced Functional Materials, EarlyView.
Micropatterned biphasic printed electrodes achieve unprecedented skin conformity and low impedance by combining liquid‐metal droplets with microstructured 3D lattices. This scalable approach enables high‐fidelity detection of ECG, EMG, and EEG signals, including alpha rhythms from the forehead, with long‐term comfort and stability.
Manuel Reis Carneiro, Telmo Lopes, André F. Silva, Carmel Majidi, Mahmoud Tavakoli   +4 more
wiley   +1 more source

Different Topological Properties of EEG-Derived Networks Describe Working Memory Phases as Revealed by Graph Theoretical Analysis

Frontiers in Human Neuroscience, 2018
Several non-invasive imaging methods have contributed to shed light on the brain mechanisms underlying working memory (WM). The aim of the present study was to depict the topology of the relevant EEG-derived brain networks associated to distinct ...
Jlenia Toppi, Jlenia Toppi, Laura Astolfi, Laura Astolfi, Monica Risetti, Alessandra Anzolin, Alessandra Anzolin, Silvia E. Kober, Silvia E. Kober, Guilherme Wood, Guilherme Wood, Donatella Mattia   +11 more
doaj   +1 more source

Biosupercapacitors for Human‐Powered Electronics

Advanced Functional Materials, EarlyView.
Biosupercapacitors are emerging as biocompatible and integrative energy systems for next‐generation bioelectronics, offering rapid charge–discharge performance and mechanical adaptability. This review systematically categorizes their applications from external to organ‐level systems and highlights their multifunctional roles in sensing, actuation, and ...
Suhyeon Kim, Seungho Baek, Woojung Jung, Hayeon Bae, Junyoung Mun, Yong Ho Kim, Sunkook Kim, Jung Ho Kim   +7 more
wiley   +1 more source

Weighted Transfer Learning for Improving Motor Imagery-Based Brain–Computer Interface

IEEE transactions on neural systems and rehabilitation engineering, 2019
One of the major limitations of motor imagery (MI)-based brain–computer interface (BCI) is its long calibration time. Due to between sessions/subjects variations in the properties of brain signals, typically, a large amount of training data needs to be ...
Ahmed M. Azab, L. Mihaylova, K. Ang, M. Arvaneh   +3 more
semanticscholar   +1 more source

Enhanced Switching Performance in Single‐Crystalline PbTiO3 Ferroelectric Memristors for Replicating Synaptic Plasticity

Advanced Functional Materials, EarlyView.
This study demonstrated single‐crystalline PbTiO3‐based memristors with atomically sharp interfaces, well‐ordered lattices, and minimal lattice mismatch. The devices exhibited an ON/OFF ratio exceeding 105, high stability, and rich resistance‐state modulation.
Haining Li, Zhiqiang Liao, Risa Kataoka, Md Sarker Shamim, Takeshi Kijima, Hiroyasu Yamahara, Hitoshi Tabata, Munetoshi Seki   +7 more
wiley   +1 more source

Transparent Inorganic–Organic Bilayer Neural Electrode Array and Integration to Miniscope System for In Vivo Calcium Imaging and Electrophysiology

Advanced Functional Materials, EarlyView.
This study presents the BioCLEAR system, a highly transparent and conductive neural electrode array composed of silver nanowires (AgNWs) and doped PEDOT:PSS, enabling neural recordings with minimal optical artifacts. When integrated with a GRIN lens, this cost‐effective neural implant allows simultaneous electrophysiological recording and GCaMP6‐based ...
Dongjun Han, Kevin Cheng, Swathy Sampath Kumar, Anil Bollimunta, Elizabeth E. Torr, Juhwan Kim, Kyoungmin Kim, Hyungjun Choi, Seongkwon Hwang, Sarah Brodnick, David Cheng, Lindsay Gray, Yei Hwan Jung, William L. Murphy, Aaron J. Suminski, Jonathan J. Nassi, Justin C. Williams, Dong‐Wook Park   +17 more
wiley   +1 more source