Electroencephalography-Based Brain–Machine Interfaces in Older Adults: A Literature Review
Bioengineering, 2023 The aging process is a multifaceted phenomenon that affects cognitive-affective and physical functioning as well as interactions with the environment.
Luca Mesin +2 more
doaj +1 more source
Controlling an Anatomical Robot Hand Using the Brain-Computer Interface Based on Motor Imagery [PDF]
, 2021 H.M.K.K.M.B. Herath, W.R. de Mel
openalex +1 more source
Subject-Independent Brain–Computer Interfaces Based on Deep Convolutional Neural Networks
IEEE Transactions on Neural Networks and Learning Systems, 2019 For a brain–computer interface (BCI) system, a calibration procedure is required for each individual user before he/she can use the BCI. This procedure requires approximately 20–30 min to collect enough data to build a reliable decoder. It is, therefore,
O-Yeon Kwon +3 more
semanticscholar +1 more source
Tumour–host interactions in Drosophila: mechanisms in the tumour micro‐ and macroenvironment
Molecular Oncology, EarlyView.This review examines how tumour–host crosstalk takes place at multiple levels of biological organisation, from local cell competition and immune crosstalk to organism‐wide metabolic and physiological collapse. Here, we integrate findings from Drosophila melanogaster studies that reveal conserved mechanisms through which tumours hijack host systems to ...
José Teles‐Reis, Tor Erik Rusten
wiley +1 more source
A Novel 3D Paradigm for Target Expansion of Augmented Reality SSVEP
IEEE Transactions on Neural Systems and Rehabilitation EngineeringSteady-State Visual Evoked Potentials (SSVEP) have proven to be practical in Brain-Computer Interfaces (BCI), particularly when integrated with augmented reality (AR) for real-world application.
Beining Cao +4 more
doaj +1 more source
Design and evaluation of fusion approach for combining brain and gaze inputs for target selection.
Frontiers in Neuroscience, 2016 Gaze-based interfaces and Brain-Computer Interfaces (BCIs) allow for hands-free human-computer interaction. In this paper, we investigate the combination of gaze and brain-computer interfaces.
Andeol Evain +7 more
doaj +1 more source
Molecular determinants of signal transduction in tropomyosin receptor kinases
FEBS Open Bio, EarlyView.Tropomyosin receptor kinases control critical neuronal functions, but how do the same receptors produce diverse cellular responses? This review explores the structural mechanisms behind Trk signaling diversity, focusing on allosteric modulation and ligand bias.
Giray Enkavi
wiley +1 more source
A study on temporal segmentation strategies for extracting common spatial patterns for brain computer interfacing [PDF]
, 2011 Brain computer interfaces (BCI) create a new approach to human computer communication, allowing the user to control a system simply by performing mental tasks such as motor imagery.
Asensio-Cubero, J +2 more
core
Object Segmentation in Images using EEG Signals [PDF]
, 2014 This paper explores the potential of brain-computer interfaces in segmenting objects from images. Our approach is centered around designing an effective method for displaying the image parts to the users such that they generate measurable brain reactions.
Bell C. J. +6 more
core +3 more sources
Riemannian Procrustes Analysis: Transfer Learning for Brain–Computer Interfaces
IEEE Transactions on Biomedical Engineering, 2019 Objective: This paper presents a Transfer Learning approach for dealing with the statistical variability of electroencephalographic (EEG) signals recorded on different sessions and/or from different subjects.
P. Rodrigues, C. Jutten, M. Congedo
semanticscholar +1 more source