Results 31 to 40 of about 151,868 (248)

Tensor-Network Decoding Beyond 2D

PRX Quantum
Decoding algorithms based on approximate tensor-network (TN) contraction have proven tremendously successful in decoding two-dimensional (2D) local quantum codes such as toric or surface codes and color codes, effectively achieving optimal decoding ...
Christophe Piveteau, Christopher T. Chubb, Joseph M. Renes   +2 more
doaj   +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

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

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

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

Data Dissemination Framework Using Low-Rank Approximation in Edge Networks

IEEE Access
This paper proposes a reliable data dissemination framework for edge networks, leveraging network coding combined with low-rank approximation. We consider an edge network that consists of a server and power-limited mobile devices, where the data is ...
Jungmin Kwon, Hyunggon Park
doaj   +1 more source

A Multi-Domain Convolutional Neural Network for EEG-Based Motor Imagery Decoding

IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023
Motor imagery (MI) decoding plays a crucial role in the advancement of electroencephalography (EEG)-based brain-computer interface (BCI) technology. Currently, most researches focus on complex deep learning structures for MI decoding.
Hongyi Zhi, Zhuliang Yu, Tianyou Yu, Zhenghui Gu, Jian Yang   +4 more
doaj   +1 more source

Outcome contingency selectively affects the neural coding of outcomes but not of tasks [PDF]

, 2019
Value-based decision-making is ubiquitous in every-day life, and critically depends on the contingency between choices and their outcomes. Only if outcomes are contingent on our choices can we make meaningful value-based decisions.
Brass, Marcel, Forstmann, Birte, Wisniewski, David   +2 more
core   +2 more sources

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