EEG-Based error detection can challenge human reaction time in a VR navigation task
Error perception is known to elicit distinct brain patterns, which can be used to improve the
usability of systems facilitating human-computer interactions, such as brain-computer …
usability of systems facilitating human-computer interactions, such as brain-computer …
Learning to guide and to be guided in the architect-builder problem
We are interested in interactive agents that learn to coordinate, namely, a $ builder $--which
performs actions but ignores the goal of the task, ie has no access to rewards--and an …
performs actions but ignores the goal of the task, ie has no access to rewards--and an …
Effect of motion state variability on error-related potentials during continuous feedback paradigms and their consequences for classification
Background An erroneous motion would elicit the error-related potential (ErrP) when
humans monitor the behavior of the external devices. This EEG modality has been largely …
humans monitor the behavior of the external devices. This EEG modality has been largely …
Towards a Fast and Robust MI-BCI: Online Adaptation of Stimulus Paradigm and Classification Model
J Wang, W Wang, J Su, Y Wang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Motor imagery-based brain–computer interface (MI-BCI) has shown promising potential for
improving motor function in neurorehabilitation and motor assistance among patients …
improving motor function in neurorehabilitation and motor assistance among patients …
[PDF][PDF] 自适应脑机接口研究综述
肖晓琳， 辛风然， 梅杰， 李昂， 曹洪涛， 徐舫舟… - 电子与信息学报, 2023 - jeit.ac.cn
脑机接口(BCI) 不依赖于外周神经和肌肉, 在大脑与外部设备之间建立起直接交流的通路.
近年来, 该技术在识别准确率和系统交互速率方面已取得巨大突破. 然而, 脑电(EEG) …
近年来, 该技术在识别准确率和系统交互速率方面已取得巨大突破. 然而, 脑电(EEG) …
Online adaptive classification system for brain–computer interface based on error-related potentials and neurofeedback
X Haotian, G Anmin, L Jiangong, W Fan, D Peng… - … Signal Processing and …, 2023 - Elsevier
The electroencephalogram (EEG)-based brain–computer interface (EEG-BCI) is used in
many fields, and can provide a more convenient way of life for patients with or without …
many fields, and can provide a more convenient way of life for patients with or without …
Investigating Visual Imagery as a BCI Control Strategy: A Pilot Study
Brain-Computer Interface (BCI) technology may provide individuals with motor impairments
or even the general population a new way to interact with the world around them. However …
or even the general population a new way to interact with the world around them. However …
[PDF][PDF] Towards Social Autotelic Artificial Agents
T KARCH - 2023 - theses.hal.science
2 Background: Standard AI Paradigms 11 2.1 Reinforcement Learning............................ 11
2.2 Imitation Learning............................... 16 2.3 Muli-Goal Reinforcement …
2.2 Imitation Learning............................... 16 2.3 Muli-Goal Reinforcement …
Machine Learning from Mistakes: Self-Improving Attention Classifier Using Error-Related Potentials
LM Vortmann, T Urban, F Putze - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
The detection of an individual's attentional state via a Brain-Computer Interface (BCI) holds
significant promise, offering a multitude of possibilities, including enhancing the usability of …
significant promise, offering a multitude of possibilities, including enhancing the usability of …
Decoding auditory attention from EEG using a convolutional neural network
Brain-computer interface (BCI) systems allow users to communicate directly with a device
using their brain. BCI devices leveraging electroencephalography (EEG) signals as a means …
using their brain. BCI devices leveraging electroencephalography (EEG) signals as a means …