Results 101 to 110 of about 318,701 (312)

Automatic Feature Selection for Sensorimotor Rhythms Brain-Computer Interface Fusing Expert and Data-Driven Knowledge

open access: yesIEEE Transactions on Neural Systems and Rehabilitation Engineering
Early brain-computer interface (BCI) systems were mainly based on prior neurophysiological knowledge coupled with feedback training, while state-of-the-art interfaces rely on data-driven, machine learning (ML)-oriented methods.
Mushfika Sultana, Serafeim Perdikis
doaj   +1 more source

Brain-Computer Interface: comparison of two control modes to drive a virtual robot [PDF]

open access: yes, 2015
A Brain-Computer Interface (BCI) is a system that enables communication and control that is not based on muscular movements, but on brain activity. Some of these systems are based on discrimination of different mental tasks; usually they match the number
André, Jean Marc   +4 more
core  

Nanomaterial‐Integrated Fiber Neural Probes for Deep Brain Monitoring and Modulation: Challenges and Opportunities

open access: yesAdvanced Functional Materials, EarlyView.
The article presents nanomaterial‐integrated fiber neural probes as innovative tools for deep brain molecular sensing, neural stimulation, and temperature monitoring. It examines breakthroughs in SERS‐based biomolecule detection, thermoplasmonic activation, and luminescent thermometry, alongside strategies to overcome stability, specificity, and ...
Di Zheng   +5 more
wiley   +1 more source

Brain-Computer Interfaces

open access: yesWijsgerig Perspectief, 2023
Martin Groß, Birgit Hennig
  +5 more sources

Electrosynthesis of Bioactive Chemicals, From Ions to Pharmaceuticals

open access: yesAdvanced Functional Materials, EarlyView.
This review discusses recent advances in electrosynthesis for biomedical and pharmaceutical applications. It covers key electrochemical materials enabling precise delivery of ions and small molecules for cellular modulation and disease treatment, alongside catalytic systems for pharmaceutical synthesis.
Gwangbin Lee   +4 more
wiley   +1 more source

Connectome-constrained ligand-receptor interaction analysis for understanding brain network communication

open access: yesNature Communications
Both diffusion magnetic resonance imaging and transcriptomic technologies have provided unprecedented opportunities to dissect brain network communication, offering insights from structural connectivity and signaling molecules separately.
Zongchang Du   +9 more
doaj   +1 more source

High-resolution SSVEP-based brain–computer interface

open access: yesThe Journal of Engineering, 2019
Steady-state visual evoked potential based brain–computer interface (BCI) is now attracting growing attention for its fast and efficient information transfer rate. However, human beings show excellent response only in a limited range of frequencies.
Shuailei Zhang   +5 more
doaj   +1 more source

Generating Cell Surface Nucleated Hydrogels with an Artificial Membrane‐Binding Transglutaminase

open access: yesAdvanced Functional Materials, EarlyView.
Cell‐based therapies require advanced strategies to enhance cell delivery and bioactivity. Cell membrane engineering offers an avenue to impart new functions to delivered cells to boost their viability and function. Here, an artificial membrane‐binding transglutaminase is generated and biophysically characterized.
Rosalia Cuahtecontzi Delint   +6 more
wiley   +1 more source

Microstimulation-based path tracking control of pigeon robots through parameter adaptive strategy

open access: yesHeliyon
Research on animal robots utilizing neural electrical stimulation is a significant focus within the field of neuro-control, though precise behavior control remains challenging.
Yinggang Huang   +5 more
doaj   +1 more source

Universal Neuromorphic Element: NbOx Memristor with Co‐Existing Volatile, Non‐Volatile, and Threshold Switching

open access: yesAdvanced Functional Materials, EarlyView.
A W/NbOx/Pt memristor demonstrates the coexistence of volatile, non‐volatile, and threshold switching characteristics. Volatile switching serves as a reservoir computing layer, providing dynamic short‐term processing. Non‐volatile switching, stabilized through ISPVA, improves reliable long‐term readout. Threshold switching operates as a leaky integrate
Ungbin Byun, Hyesung Na, Sungjun Kim
wiley   +1 more source

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