A Transformer Encoder and Convolutional Neural Network Combined Method for Classification of Error-related Potentials

G Ren, SS Mahmoud, A Kumar… - 2023 IEEE Biomedical …, 2023 - ieeexplore.ieee.org
Background and Objectives. As an inherent feedback mechanism in humans, Error-related
Potentials (ErrPs) signals have received increasing attention for their potential to improve …

A deep neural network and transfer learning combined method for cross-task classification of error-related potentials

G Ren, A Kumar, SS Mahmoud, Q Fang - Frontiers in Human …, 2024 - frontiersin.org
Background Error-related potentials (ErrPs) are electrophysiological responses that
naturally occur when humans perceive wrongdoing or encounter unexpected events. It …

Error related potential classification using a 2-D convolutional neural network

Y Gao, T Tao, Y Jia - International Conference on Intelligent Robotics and …, 2022 - Springer
An error-related potentials (ErrP) is generated in the brain when human's expectations are
inconsistent with actual results. The decoding of ErrP can improve the performance of brain …

Classification of error related potentials using convolutional neural networks

SAS Bellary, JM Conrad - … on Cloud Computing, Data Science & …, 2019 - ieeexplore.ieee.org
A class of Electroencephalogram (EEG) generated when a person is present with a stimuli
are Error-related potentials (ErrP). Classification of ErrP revolutionized the domain of Brain …

Improving EEG-based error detection using relative peak features

AL Ashley, M Arvaneh - … Conference of the IEEE Engineering in …, 2020 - ieeexplore.ieee.org
A brain-computer interface (BCI) potentially enables a severely disabled person to
communicate using brain signals. Automatic detection of error-related potentials (ErrPs) in …

Improving classification accuracy of detecting error-related potentials using two-stage trained neural network classifier

PK Parashiva, AP Vinod - 2020 11th International Conference …, 2020 - ieeexplore.ieee.org
Error-Related Potential (Errp) is the bioelectric potential elicited in human brain as a result of
the cognitive state of awareness when an error is perceived. Identifying ErrP from a single …

[HTML][HTML] A Multi-Channel Ensemble Method for Error-Related Potential Classification Using 2D EEG Images

T Tao, Y Gao, Y Jia, R Chen, P Li, G Xu - Sensors, 2023 - mdpi.com
An error-related potential (ErrP) occurs when people's expectations are not consistent with
the actual outcome. Accurately detecting ErrP when a human interacts with a BCI is the key …

Error Related Potential Detection Algorithm for Brain Computer Interface

Z Li, H Min - 2024 36th Chinese Control and Decision …, 2024 - ieeexplore.ieee.org
The utilization of error-related potentials (ErrPs) in brain-computer interfaces shows great
promise for improving control performance. However, several limitations, such as insufficient …

An efficient electrode ranking method for single trial detection of eeg error-related potentials

PK Parashiva, AP Vinod - 2021 4th International Conference on …, 2021 - ieeexplore.ieee.org
The human brain's response to mistakes or erroneous events is termed as Error-Related
Potential (ErrP). The ErrP can be recorded non-invasively using Electroencephalogram …

Enhanced error decoding from error-related potentials using convolutional neural networks

JMM Torres, T Clarkson, EA Stepanov… - 2018 40th annual …, 2018 - ieeexplore.ieee.org
Error-related potentials are considered an important neuro-correlate for monitoring human
intentionality in decision-making, human-human, or human-machine interaction scenarios …