Brain–computer interfacing using functional near-infrared spectroscopy (fNIRS)

K Paulmurugan, V Vijayaragavan, S Ghosh… - Biosensors, 2021 - mdpi.com
Functional Near-Infrared Spectroscopy (fNIRS) is a wearable optical spectroscopy system
originally developed for continuous and non-invasive monitoring of brain function by …

Improved dilation CapsuleNet for motor imagery and mental arithmetic classification based on fNIRS

Y Li, T Xu, J Li, F Wan, H Wang - Brain-Apparatus Communication …, 2024 - Taylor & Francis
Purpose This study aimed to improve the accuracy of brain-computer interface (BCI) systems
based on motor imagery (MI) and mental arithmetic (MA) by utilizing functional near-infrared …

[HTML][HTML] Age Differences in Learning-Related Neurophysiological Changes

AM Tinga, NS Menger, TT De Back… - Journal of …, 2023 - econtent.hogrefe.com
Research in young adults has demonstrated that neurophysiological measures are able to
provide insight into learning processes. However, to date, it remains unclear whether …

Assessment of learning through non-invasive neurophysiological measures

A Tinga - 2020 - research.tilburguniversity.edu
The way in which learning is assessed has not changed much over the years. Learning
gains have been and are still generally measured through assessing behavioral …

[引用][C] Art & Embodiment: The Nuances of Embodied Simulation as a Route to Aesthetic Experience

TT McCambridge - 2022 - ResearchSpace@ Auckland