Results 31 to 40 of about 153,200 (241)

Cognitive computing method based on decoding psychological emotional states

International Journal of Cognitive Computing in Engineering
The current artificial intelligence is constrained to passively executing human command control. It cannot perceive, learn, and guide itself. Furthermore, the majority of these systems are unable to comprehend the human psychological cognitive state or ...
Baihui Huangfu, Wenjuan Cheng
doaj   +1 more source

Robust detection of event-related potentials in a user-voluntary short-term imagery task.

PLoS ONE, 2019
Event-related potentials (ERPs) represent neuronal activity in the brain elicited by external visual or auditory stimulation and are widely used in brain-computer interface (BCI) systems.
Min-Ho Lee, John Williamson, Young-Jin Kee, Siamac Fazli, Seong-Whan Lee   +4 more
doaj   +1 more source

Application of Transfer Learning in EEG Decoding Based on Brain-Computer Interfaces: A Review

Sensors, 2020
The algorithms of electroencephalography (EEG) decoding are mainly based on machine learning in current research. One of the main assumptions of machine learning is that training and test data belong to the same feature space and are subject to the same ...
Kai Zhang, Guanghua Xu, Xiaowei Zheng, Huanzhong Li, Sicong Zhang, Yunhui Yu, Renghao Liang   +6 more
doaj   +1 more source

A hybrid brain-computer interface using motor imagery and SSVEP Based on convolutional neural network

Brain-Apparatus Communication, 2023
The key to electroencephalography (EEG)-based brain-computer interface (BCI) lies in neural decoding, and its accuracy can be improved by using hybrid BCI paradigms, that is, fusing multiple paradigms.
Wenwei Luo, Wanguang Yin, Quanying Liu, Youzhi Qu   +3 more
doaj   +1 more source

Overview of molecular signatures of senescence and associated resources: pros and cons

FEBS Open Bio, EarlyView.
Cells can enter a stress response state termed cellular senescence that is involved in various diseases and aging. Detecting these cells is challenging due to the lack of universal biomarkers. This review presents the current state of senescence identification, from biomarkers to molecular signatures, compares tools and approaches, and highlights ...
Orestis A. Ntintas, Sylvia Vagena, Pavlos Pantelis, Giorgos Theocharous, Russel Petty, Konstantinos Evangelou, Vassilis G. Gorgoulis   +6 more
wiley   +1 more source

Anomaly Detection in Gas Turbine Fuel Systems Using a Sequential Symbolic Method

Energies, 2017
Anomaly detection plays a significant role in helping gas turbines run reliably and economically. Considering the collective anomalous data and both sensitivity and robustness of the anomaly detection model, a sequential symbolic anomaly detection method
Fei Li, Hongzhi Wang, Guowen Zhou, Daren Yu, Jiangzhong Li, Hong Gao   +5 more
doaj   +1 more source

Age‐Related Characteristics of SYT1‐Associated Neurodevelopmental Disorder

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives We describe the clinical manifestations and developmental abilities of individuals with SYT1‐associated neurodevelopmental disorder (Baker‐Gordon syndrome) from infancy to adulthood. We further describe the neuroradiological and electrophysiological characteristics of the condition at different ages, and explore the associations ...
Sam G. Norwitz, Josefine Eck, Joel S. Winston, Kate Baker   +3 more
wiley   +1 more source

Contrastive representation learning with transformers for robust auditory EEG decoding

Scientific Reports
Decoding of continuous speech from electroencephalography (EEG) presents a promising avenue for understanding neural mechanisms of auditory processing and developing applications in hearing diagnostics.
Lies Bollens, Bernd Accou, Hugo Van hamme, Tom Francart   +3 more
doaj   +1 more source

The SSHVEP Paradigm-Based Brain Controlled Method for Grasping Robot Using MVMD Combined CNN Model

IEEE Transactions on Neural Systems and Rehabilitation Engineering
In recent years, the steady-state visual evoked potentials (SSVEP) based brain control method has been employed to help people with disabilities because of its advantages of high information transmission rate and low training time.
Rui Li, Duanyang Bai, Zhijun Li, Shiqiang Yang, Weiping Liu, Yichi Zhang, Jincao Zhou, Jing Luo, Wen Wang   +8 more
doaj   +1 more source

Epilepsy‐Associated Variants of a Single SCN1A Codon Exhibit Divergent Functional Properties

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Pathogenic variants in SCN1A, which encodes the voltage‐gated sodium channel NaV1.1, are associated with multiple epilepsy syndromes exhibiting a range of clinical severity. SCN1A variants are reported in different syndromes, including Dravet syndrome, which is associated with loss‐of‐function, whereas neonatal/infantile‐onset ...
Lanie N. Liebovitz, Christopher H. Thompson, Linda C. Laux, Alfred L. George Jr.   +3 more
wiley   +1 more source