Results 81 to 90 of about 4,489,782 (294)

Reservoir‐Driven Neuromorphic Computing Based on Composite Rare‐Earth/Transition Metal Oxide Memristor

Advanced Functional Materials, EarlyView.
A defect‐engineered Ag/Gd2O3:Nb2O5/Pt rare earth composite oxide memristor enables stable multilevel reservoir states through pulse driven conductance modulation. Experimentally measured device responses are incorporated into a device aware reservoir computing framework for CIFAR‐100 image classification, highlighting the potential of rare earth ...
Hammad Ghazanfar, Haider Abbas, Muhammad Rabeel, Honggyun Kim, Ghulam Dastgeer, Muhammad Nasim, Furqan Zahoor, Yawar Abbas, Waqas Ahmad, Deok‐kee Kim   +9 more
wiley   +1 more source

BCIs and mobile robots for neurological rehabilitation: practical applications of remote control. Remote control of mobile robots applied in non-invasive BCI for disabled users afflicted by motor neurons diseases [PDF]

, 2011
This project aims at testing the possible advantages of introducing a mobile robot as a physical input/output device in a Brain Computer Interface (BCI) system.
Criveller, Luigi
core  

A comprehensive review of the movement imaginary brain-computer interface methods: Challenges and future directions

, 2022
Brain-computer interface (BCI) aims to translate human intention into a control output signal. In motor-imaginary (MI) BCI, the imagination of movement modifies the cortex brain activity.
Farahi, Morteza, Morteza Farahi, Sadaf Khademi, Mehrnoosh Neghabi, Hamid Reza Marateb, Khademi, Sadaf, Neghabi, Mehrnoosh, Marateb, Hamid Reza, Mehdi Shirzadi, Shirzadi, Mehdi   +9 more
core   +1 more source

Decoding Inner Speech Using Electrocorticography: Progress and Challenges Toward a Speech Prosthesis

Frontiers in Neuroscience, 2018
Certain brain disorders resulting from brainstem infarcts, traumatic brain injury, cerebral palsy, stroke, and amyotrophic lateral sclerosis, limit verbal communication despite the patient being fully aware.
Stephanie Martin, Stephanie Martin, Iñaki Iturrate, José del R. Millán, Robert T. Knight, Robert T. Knight, Brian N. Pasley   +6 more
doaj   +1 more source

Architecture‐Driven Functional Coupling in Vertically Aligned Nanocomposites

Advanced Functional Materials, EarlyView.
Vertically aligned nanocomposites define a growth‐engineered architecture in which vertical interfaces, strain fields, defect pathways, and phase connectivity are created simultaneously. This review shows how these architectural features couple ferroic, optical, ionic, electrochemical, and device responses, establishing design rules and open challenges
Md Shatil Islam‐Shanto, Javier Zamudio‐García, Abraham Sánchez‐Caballero, David Marrero‐López, Vincenzo Esposito   +4 more
wiley   +1 more source

The Berlin Brain-Computer Interface presents the novel mental typewriter Hex-o-Spell

, 2022
108109We present a novel typewriter application "Hex-o-Spell" that is specifically tailored to the characteristics of direct brain-to-computer interaction.
Krauledat, M., Dornhege, G., Blankertz, B., Murray-Smith, R., Williamson, J., Schröder, M., Müller, K.-R.   +6 more
core   +1 more source

How is Nanoarchitectonics Shaping Extracellular Vesicle Research?

Advanced Healthcare Materials, EarlyView.
The convergence of nanoarchitectonics and extracellular vesicle biology is reshaping next‐generation nanomedicine by enabling rationally designed nanostructures for enhanced EVs detection, engineering, and therapy. ABSTRACT Extracellular vesicles (EVs) have gained recognition as crucial mediators of cell‐to‐cell communication, holding immense potential
Madushani Dahanayake, Md Shahriar A. Hossain, Chia‐Hung Liu, Carlos Salomon, Yusuke Yamauchi, Mostafa Kamal Masud   +5 more
wiley   +1 more source

Brain machine interface based wheelchair control with minimal subject training [PDF]

, 2009
Organized by School of Mechatronic Engineering (UniMAP) & co-organized by The Institution of Engineering Malaysia (IEM), 11th - 13th October 2009 at Batu Feringhi, Penang, Malaysia.Wheelchair control using a Brain Machine Interface based on motor imagery
Paulraj, Murugesapandian, Sazali, Yaacob, Ramachandran, Nagarajan, Hema, Chengalvarayan Radhakrishnamurthy, Abdul Hamid, Adom   +4 more
core  

Implantable brain–computer interface for neuroprosthetic-enabled volitional hand grasp restoration in spinal cord injury

, 2023
Loss of hand function after cervical spinal cord injury severely impairs functional independence. We describe a method for restoring volitional control of hand grasp in one 21-year-old male subject with complete cervical quadriplegia (C5 American Spinal ...
Dietrich, W Dalton, Abel, John H, Jagid, Jonathan, Cajigas, Iahn, Zimmerman, Lauren, Vanni, Steven, Ivan, Michael E, Gant, Katie, Davis, Kevin C, Prasad, Abhishek, Parks, Brandon A, Wilson, Audrey, Meschede-Krasa, Benyamin, Gallo, Sebastian, Tauber, John Michael, Palermo, Anne, Fisher, Letitia, Levi, Allan D, Naeem, Jasim Ahmad, Brown, Emery Neal, Prins, Noeline W, Garwood, Indie C, Guerra, Santiago   +22 more
core   +1 more source

Estimation of Neuromuscular Primitives from EEG Slow Cortical Potentials in Incomplete Spinal Cord Injury Individuals for a New Class of Brain-Machine Interfaces

Frontiers in Computational Neuroscience, 2018
One of the current challenges in human motor rehabilitation is the robust application of Brain-Machine Interfaces to assistive technologies such as powered lower limb exoskeletons.
Andrés Úbeda, Andrés Úbeda, José M. Azorín, Dario Farina, Massimo Sartori   +4 more
doaj   +1 more source