Brain-Computer Interfaces for Perception, Learning, and Motor Control

93.1K

views

103

authors

17

articles

Editorial

20 October 2021

Editorial: Brain-Computer Interfaces for Perception, Learning, and Motor Control

Saugat Bhattacharyya

,

Amit Konar

,

Haider Raza

and

Anwesha Khasnobish

2,298 views

2 citations

Editors

4

Tata Consultancy Services (India)

Impact

About

This Research Topic is concerned with new technologies for Electroencephalography (EEG) and magnetoencephalography (MEG)-based Brain-Computer Interfaces (BCI) with special emphasis to neural underpinnings of Perception, Learning, and Motor control.

The method of EEG/MEG-data analysis may include emerging technologies of brain signal/image processing, including new algorithms on spatial filtering, feature extraction/selection, classifier design, and new control algorithms for BCI-based external robotic manipulators and Functional Electrical Stimulation based rehabilitative systems. Areas of interest include development of new algorithms for non-stationarity handling in single-trial classification of BCI data, implementing transfer learning/domain adaptation approaches in BCI.

Hybrid and multi-modal BCI also are gaining interest among researchers. Hybrid BCI attempts to utilize multiple brain signals to design and develop the BCI experiments. In contrast, multi-modal BCI employs multiple modalities of acquiring brain signals/images simultaneously or independently then attempts to fuse the brain signals/imaging information/attributes. These methods might help diagnose brain diseases and/or study cognitive functions.
We welcome both Original and Review articles using the above-mentioned technologies to develop practical stand-alone systems for future automated systems used in rehabilitative aids and to diagnose psychological diseases, memory malfunctioning (especially short-term and working memory), learning disability, neuro-motor disorders. We also welcome papers identifying brain activation regions and/or brain-connectivity involved in olfactory and tactile perception, learning, or mind-controlled artificial robotic limbs and motor control developed in BCI settings.

Download ebook

PDF

EPUB

Share

Editors

Tata Consultancy Services (India)

Impact

93,065 Total views

63,415 Article views

27,514 Article downloads

2,136 Topic views

Published In

Frontiers in Neuroscience

Brain Imaging Methods

Frontiers in Human Neuroscience

Brain-Computer Interfaces

Frontiers in Neuroimaging

Brain Imaging Methods

Frontiers in Neurology

Brain Imaging Methods

About Frontiers Research Topics

With their unique mixes of varied contributions from Original Research to Review Articles, Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author.

Suggest a topic