A Systematic Review of Using Deep Learning Technology in the Steady‐State Visually Evoked Potential‐Based Brain‐Computer Interface Applications: Current …
The significance of deep learning techniques in relation to steady‐state visually evoked
potential‐(SSVEP‐) based brain‐computer interface (BCI) applications is assessed through …
potential‐(SSVEP‐) based brain‐computer interface (BCI) applications is assessed through …
Review of brain encoding and decoding mechanisms for EEG-based brain–computer interface
A brain–computer interface (BCI) can connect humans and machines directly and has
achieved successful applications in the past few decades. Many new BCI paradigms and …
achieved successful applications in the past few decades. Many new BCI paradigms and …
Adaptive transfer learning-based multiscale feature fused deep convolutional neural network for EEG MI multiclassification in brain–computer interface
AM Roy - Engineering Applications of Artificial Intelligence, 2022 - Elsevier
Abstract Objective. Deep learning (DL)-based brain–computer interface (BCI) in motor
imagery (MI) has emerged as a powerful method for establishing direct communication …
imagery (MI) has emerged as a powerful method for establishing direct communication …
An efficient multi-scale CNN model with intrinsic feature integration for motor imagery EEG subject classification in brain-machine interfaces
AM Roy - Biomedical Signal Processing and Control, 2022 - Elsevier
Objective Electroencephalogram (EEG) based motor imagery (MI) classification is an
important aspect in brain-machine interfaces (BMIs) which bridges between neural system …
important aspect in brain-machine interfaces (BMIs) which bridges between neural system …
A comprehensive review of deep learning power in steady-state visual evoked potentials
Brain–computer interfacing (BCI) research, fueled by deep learning, integrates insights from
diverse domains. A notable focus is on steady-state visual evoked potential (SSVEP) in BCI …
diverse domains. A notable focus is on steady-state visual evoked potential (SSVEP) in BCI …
TRCA-net: using TRCA filters to boost the SSVEP classification with convolutional neural network
Objective. The steady-state visual evoked potential (SSVEP)-based brain–computer
interface has received extensive attention in research due to its simple system, less training …
interface has received extensive attention in research due to its simple system, less training …
A multi-scale fusion CNN model based on adaptive transfer learning for multi-class MI-classification in BCI system
AM Roy - BioRxiv, 2022 - biorxiv.org
Deep learning-based brain-computer interface (BCI) in motor imagery (MI) has emerged as
a powerful method for establishing direct communication between the brain and external …
a powerful method for establishing direct communication between the brain and external …
Classification of image encoded SSVEP-based EEG signals using Convolutional Neural Networks
PO De Paula, TB da Silva Costa… - Expert Systems with …, 2023 - Elsevier
Abstract Brain–Computer Interfaces (BCI) systems based on electroencephalography (EEG)
signals are experiencing a rapid development, counting with a number of methods, mainly …
signals are experiencing a rapid development, counting with a number of methods, mainly …
Fixed template network and dynamic template network: novel network designs for decoding steady-state visual evoked potentials
Objective. Decomposition methods are efficient to decode steady-state visual evoked
potentials (SSVEPs). In recent years, the brain–computer interface community has also been …
potentials (SSVEPs). In recent years, the brain–computer interface community has also been …
A survey of deep learning-based classification methods for steady-state visual evoked potentials
Y Pan, J Chen, Y Zhang - Brain-Apparatus Communication: A …, 2023 - Taylor & Francis
Purpose Steady-state visual evoked potential (SSVEP) based BCI has attracted great
interests owing to the high information transfer rate (ITR) and little training requirement. The …
interests owing to the high information transfer rate (ITR) and little training requirement. The …