A comprehensive review of EEG-based brain–computer interface paradigms

R Abiri, S Borhani, EW Sellers, Y Jiang… - Journal of neural …, 2019 - iopscience.iop.org
Advances in brain science and computer technology in the past decade have led to exciting
developments in brain–computer interface (BCI), thereby making BCI a top research area in …

[HTML][HTML] Don't fear 'fear conditioning': Methodological considerations for the design and analysis of studies on human fear acquisition, extinction, and return of fear

TB Lonsdorf, MM Menz, M Andreatta… - Neuroscience & …, 2017 - Elsevier
The so-called 'replicability crisis' has sparked methodological discussions in many areas of
science in general, and in psychology in particular. This has led to recent endeavours to …

Emotions recognition using EEG signals: A survey

SM Alarcao, MJ Fonseca - IEEE transactions on affective …, 2017 - ieeexplore.ieee.org
Emotions have an important role in daily life, not only in human interaction, but also in
decision-making processes, and in the perception of the world around us. Due to the recent …

A 1D CNN for high accuracy classification and transfer learning in motor imagery EEG-based brain-computer interface

F Mattioli, C Porcaro… - Journal of Neural …, 2022 - iopscience.iop.org
Objective. Brain-computer interface (BCI) aims to establish communication paths between
the brain processes and external devices. Different methods have been used to extract …

Enhancing detection of SSVEPs for a high-speed brain speller using task-related component analysis

M Nakanishi, Y Wang, X Chen, YT Wang… - IEEE Transactions …, 2017 - ieeexplore.ieee.org
Objective: This study proposes and evaluates a novel data-driven spatial filtering approach
for enhancing steady-state visual evoked potentials (SSVEPs) detection toward a high …

A review on Virtual Reality and Augmented Reality use-cases of Brain Computer Interface based applications for smart cities

V Kohli, U Tripathi, V Chamola, BK Rout… - Microprocessors and …, 2022 - Elsevier
Abstract Brain Computer Interfaces (BCIs) and Extended Reality (XR) have seen significant
advances as independent disciplines over the past 50 years. XR has been developed as an …

High-speed spelling with a noninvasive brain–computer interface

X Chen, Y Wang, M Nakanishi, X Gao… - Proceedings of the …, 2015 - National Acad Sciences
The past 20 years have witnessed unprecedented progress in brain–computer interfaces
(BCIs). However, low communication rates remain key obstacles to BCI-based …

Demystifying neuromarketing

WM Lim - Journal of business research, 2018 - Elsevier
This article adopts an integrated knowledge inquiry approach and systematically reviews
(through content analysis) and draws themes (through thematic analysis) to explain the …

[HTML][HTML] The steady-state visual evoked potential in vision research: A review

AM Norcia, LG Appelbaum, JM Ales… - Journal of …, 2015 - tvst.arvojournals.org
Periodic visual stimulation and analysis of the resulting steady-state visual evoked potentials
were first introduced over 80 years ago as a means to study visual sensation and …

Filter bank canonical correlation analysis for implementing a high-speed SSVEP-based brain–computer interface

X Chen, Y Wang, S Gao, TP Jung… - Journal of neural …, 2015 - iopscience.iop.org
Objective. Recently, canonical correlation analysis (CCA) has been widely used in steady-
state visual evoked potential (SSVEP)-based brain–computer interfaces (BCIs) due to its …