Neurotechnologies for human cognitive augmentation: current state of the art and future prospects
Recent advances in neuroscience have paved the way to innovative applications that
cognitively augment and enhance humans in a variety of contexts. This paper aims at …
cognitively augment and enhance humans in a variety of contexts. This paper aims at …
Artificial intelligence for the metaverse: A survey
Along with the massive growth of the Internet from the 1990s until now, various innovative
technologies have been created to bring users breathtaking experiences with more virtual …
technologies have been created to bring users breathtaking experiences with more virtual …
Leveraging psychology and neuroscience for geospatial cognition research
Geospatial cognition is a crucial field for exploring interactions between human
psychological factors and geographical environments. Previous research has relied on …
psychological factors and geographical environments. Previous research has relied on …
Assembling global and local spatial-temporal filters to extract discriminant information of EEG in RSVP task
B Li, S Zhang, Y Hu, Y Lin, X Gao - Journal of Neural Engineering, 2023 - iopscience.iop.org
Objective. Brain–computer interface (BCI) system has developed rapidly in the past decade.
And rapid serial visual presentation (RSVP) is an important BCI paradigm to detect the …
And rapid serial visual presentation (RSVP) is an important BCI paradigm to detect the …
Multi-task collaborative network: Bridge the supervised and self-supervised learning for EEG classification in RSVP tasks
H Li, J Tang, W Li, W Dai, Y Liu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Electroencephalography (EEG) datasets are characterized by low signal-to-noise signals
and unquantifiable noisy labels, which hinder the classification performance in rapid serial …
and unquantifiable noisy labels, which hinder the classification performance in rapid serial …
Uav target detection for iot via enhancing erp component by brain–computer interface system
Y Zhang, H Zhang, X Gao, S Zhang… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
The increasing popularity of Internet of Things (IoT) devices provides a huge data source for
intelligent identification. Images captured by the unmanned aerial vehicle (UAV) are often …
intelligent identification. Images captured by the unmanned aerial vehicle (UAV) are often …
Phase preservation neural network for electroencephalography classification in rapid serial visual presentation task
Neuroscience studies have demonstrated the phase-locked characteristics of some early
event-related potential (ERP) components evoked by stimuli. In this study, we propose a …
event-related potential (ERP) components evoked by stimuli. In this study, we propose a …
Best practice for single-trial detection of event-related potentials: Application to brain-computer interfaces
The detection of event-related potentials (ERPs) in the electroencephalogram (EEG) signal
is a fundamental component in non-invasive brain-computer interface (BCI) research, and in …
is a fundamental component in non-invasive brain-computer interface (BCI) research, and in …
Towards the automated localisation of targets in rapid image-sifting by collaborative brain-computer interfaces
A Matran-Fernandez, R Poli - PLoS One, 2017 - journals.plos.org
The N2pc is a lateralised Event-Related Potential (ERP) that signals a shift of attention
towards the location of a potential object of interest. We propose a single-trial target …
towards the location of a potential object of interest. We propose a single-trial target …
DC-tCNN: a deep model for EEG-based detection of dim targets
L Fan, H Shen, F Xie, J Su, Y Yu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Objective: Dim target detection in remote sensing images is a significant and challenging
problem. In this work, we seek to explore event-related brain responses of dim target …
problem. In this work, we seek to explore event-related brain responses of dim target …