Results 101 to 110 of about 4,489,782 (294)
Brain–machine interfaces in neurorehabilitation of stroke
Neurobiology of Disease, 2015 Stroke is among the leading causes of long-term disabilities leaving an increasing number of people with cognitive, affective and motor impairments depending on assistance in their daily life. While function after stroke can significantly improve in the first weeks and months, further recovery is often slow or non-existent in the more severe cases ...
Soekadar, Surjo Raphael +3 more
openaire +5 more sources
Ferroelectric Quantum Dots for Retinomorphic In‐Sensor Computing
Advanced Materials, EarlyView.This work has provided a protocol for fabricating retinomorphic phototransistors by integrating ferroelectric ligands with quantum dots. The resulting device combines ferroelectricity, optical responsiveness, and low‐power operation to enable adaptive signal amplification and high recognition accuracy under low‐light conditions, while supporting ...
Tingyu Long +26 more
wiley +1 more source
Soft-Keyboard for the disabled [PDF]
, 2004 This paper discusses an investigation carried out in designing and evaluating a neurorehabiliatory communication interfaces for nonverbal Quadriplegic and other clinically brain injured persons.
Gnanayutham, Paul +7 more
core +1 more source
Deep Learning for Whole-Brain Cognitive Decoding
, 2022 2224Accurately decoding brain activities is both a challenge for machine learning and a potential vehicle for gaining insight into complex cognitive brain states and their dynamics. In this brief note, we will touch upon selected recent directions of our
K.-R. Muller +5 more
core +1 more source
Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application
Advanced Materials, EarlyView.This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong +12 more
wiley +1 more source
Spelling with brain-computer interface - current trends and prospects
, 2010 International audienceBrain-Computer Interfaces (BCIs) have become a large research field that include challenges mainly in neuroscience, signal processing, machine learning and user interface.
Cecotti, Hubert
core +2 more sources
Dynamic and low-dimensional modeling of brain functional connectivity on Riemannian manifolds
NeuroImageModeling brain functional connectivity (FC) is key in investigating brain functions and dysfunctions. FC is typically quantified by symmetric positive definite (SPD) matrices that are located on a Riemannian manifold rather than the regular Euclidean ...
Mingyu Wang, Yueming Wang, Yuxiao Yang
doaj +1 more source
Advanced Materials, EarlyView.The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj +8 more
wiley +1 more source
A first attempt at constructing genetic programming expressions for EEG classification [PDF]
, 2005 Proceeding of: 15th International Conference on Artificial Neural Networks ICANN 2005, Poland, 11-15 September, 2005In BCI (Brain Computer Interface) research, the classification of EEG signals is a domain where raw data has to undergo some preprocessing,
Estébanez Tascón, César +8 more
core +1 more source