Results 141 to 150 of about 544,226 (346)

Achieving High ON State Current through Ferroelectric Polarization‐Dependent Interfacial Resistance Switching in Undoped Orthorhombic HfO2 Films

open access: yesAdvanced Functional Materials, EarlyView.
Ferroelectric tunnel junction devices based on epitaxial undoped ferroelectric HfO2 films demonstrate stable switching endurance of over 106 switching cycles, low write voltages of ±3 V, 16 measured resistance states, and neuromorphic capability.
Markus Hellenbrand   +13 more
wiley   +1 more source

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

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

open access: yesIEEE 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   +3 more
semanticscholar   +1 more source

Atomic Layer Deposition in Transistors and Monolithic 3D Integration

open access: yesAdvanced Functional Materials, EarlyView.
Transistors are fundamental building blocks of modern electronics. This review summarizes recent progress in atomic layer deposition (ALD) for the synthesis of two‐dimensional (2D) metal oxides and transition‐metal dichalcogenides (TMDCs), with particular emphasis on their enabling role in monolithic three‐dimensional (M3D) integration for next ...
Yue Liu   +5 more
wiley   +1 more source

Exploring a P300 Brain-Computer Interface Based on Three Different RSVP Paradigms [PDF]

open access: yes, 2019
A BCI Speller is a typical Brain-Computer Interface (BCI) system for communication purpose. This technology can provide users with severe motor disability with an assistive device controlled by brain activity.
Abadie, Maëlle   +8 more
core  

Review on brain-computer interface technologies in healthcare

open access: yesBiophysical Reviews, 2023
Evelyn Karikari   +1 more
semanticscholar   +1 more source

MXene/PEDOT Functional Coatings on Flexible Microelectrode Arrays for Multianalyte In Vivo Neurochemical Sensing and Electrophysiology

open access: yesAdvanced Functional Materials, EarlyView.
A MXene/PEDOT coating enables multimodal functionality and dual‐analyte detection of dopamine and serotonin in flexible microelectrode arrays while enhancing electrophysiological recording quality. The anti‐fouling, low‐impedance interface overcomes key limitations of conventional coatings, providing a robust and versatile platform to investigate the ...
Ilaria Gatti   +8 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

Self‐Healing and Stretchable Synaptic Transistor

open access: yesAdvanced Functional Materials, EarlyView.
A self‐healing stretchable synaptic transistor (3S‐T) is realized using a p‐PVDF‐HFP‐DBP/PDMS‐MPU‐IU bilayer as gate insulator, where dipole‐dipole interaction enhances polarization to achieve a large memory window. Leveraging its neuronal biomimicry, the synaptic transistor demonstrates electrically compatibility with the biological brain. Furthermore,
Hyongsuk Choo   +10 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

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