Results 121 to 130 of about 3,887,920 (279)

Attention-based EEG classification [PDF]

, 2022
openIn recent years, deep learning models become one of the more used techniques to perform EEG classification. In this work, we aim to explore the performance of different architectures, including the new idea of attention model, on different datasets ...
SOCCOL, LAURA
core  

Molecular Atlas of Key Food Odorants Reveals Mixture‐Level Organization and Enables Generative Aroma Design

Advanced Science, EarlyView.
KFO‐Atlas reveals how real‐world aromas are organized as structured mixtures rather than individual molecules. Building on these principles, KFO‐Gen, a generative AI framework, designs perceptually valid aroma formulations and reconstructs meat‐like aromas exclusively from plant‐derived odorants, providing a foundation for mixture‐level studies and AI ...
Jingzhi Zhang, Huadong Xing, Antonella Di Pizio, Qinfei Ke, Xingran Kou, Dachuan Zhang   +5 more
wiley   +1 more source

The spatio-temporal mapping of epileptic networks: Combination of EEG–fMRI and EEG source imaging [PDF]

, 2009
Simultaneous EEG–fMRI acquisitions in patients with epilepsy often reveal distributed patterns of Blood Oxygen Level Dependant (BOLD) change correlated with epileptiform discharges.
Lemieux, L., Lhatoo, S., Guye, M., L Lemieux, M Guye, McEvoy, A.W., Thornton, R., R Thornton, Michel, Christoph, Spinelli, L., Duncan, J.S., Michel, C.M., Spinelli, Laurent Jean-François, Carmichael, D.W., L Spinelli, C M Michel, R Rodionov, Rodionov, R., J S Duncan, Vulliemoz, Serge, Carmichael, D. W., S Vulliemoz, McEvoy, A. W., A W Mcevoy, Prof Louis Lemieux, Chesham Lane, Vulliemoz, S., D W Carmichael, S Lhatoo, Duncan, J. S.   +29 more
core   +1 more source

Temporal‐Targeted Accelerated 40 Hz tACS Enhances Cognitive Function and Network Integration in Alzheimer's Disease: A Randomized Clinical Trial

Advanced Science, EarlyView.
Bilateral temporal accelerated 40‐Hz tACS improves cognitive function in patients with Alzheimer's disease. Resting‐state fNIRS identifies treatment‐related increases in frontotemporoparietal functional connectivity, which are associated with cognitive improvement. ABSTRACT The temporal lobes are key hubs for memory and cognition.
Rong Guo, Xingxing Li, Chenjun Zou, Chao Zheng, Xiaohong Wu, Xuechao Lu, Jiaying Yan, Junfang Zhang, Xiaoyan Luo, Shiwei Ye, Dongsheng Zhou   +10 more
wiley   +1 more source

Modulation of Presynaptic Inhibitory Retinal Circuits for Retinal Ganglion Cell Neuroprotection in Glaucoma

Advanced Science, EarlyView.
Ocular hypertension induces early hyperactivity in inner retinal inhibitory circuitry before substantial retinal ganglion cell loss. Sustained pharmacological inhibition of GABAergic/glycinergic neurotransmission and Vgat‐targeted Lin28 expression suppress this hyperactivity and improve RGC survival without reducing intraocular pressure. These findings
Eunji Hong, Chen Lin, Wenjie Long, Ian Kim, Mengwen Xiong, Zuer Wu, Siyuan Rao, Qianbin Wang   +7 more
wiley   +1 more source

EEG signal classification based on simple random sampling technique with least square support vector machine

, 2011
This paper proposes a new approach based on Simple Random Sampling (SRS) technique with Least Square Support Vector Machine (LS-SVM) to classify two-class of electroencephalogram (EEG) signals.
Wen, Peng, Li, Yan
core   +1 more source

On the Role of Preprocessing and Memristor Dynamics in Reservoir Computing for Image Classification

Advanced Electronic Materials, EarlyView.
ABSTRACT Reservoir computing (RC) is an emerging recurrent neural network architecture that has attracted growing attention for its low training cost and modest hardware requirements. Memristor‐based circuits are particularly promising for RC, as their intrinsic dynamics can reduce network size and parameter overhead in tasks such as time‐series ...
Rishona Daniels, Duna Wattad, Ronny Ronen, David Saad, Shahar Kvatinsky   +4 more
wiley   +1 more source

A method of EEG signal feature extraction based on hybrid DWT and EMD

Alexandria Engineering Journal
The processing and recognition of electroencephalogram (EEG) signal is the most important part of brain-computer interface (BCI) system, and the quality of signal processing and recognition is directly related to the effectiveness of BCI system.
Xiaozhong Geng, Linen Wang, Ping Yu, Weixin Hu, Qipeng Liang, Xintong Zhang, Cheng Chen, Xi Zhang   +7 more
doaj   +1 more source

A novel statistical algorithm for multiclass EEG signal classification

, 2014
This paper presents a new algorithm for the classification of multiclass EEG signals. This algorithm involves applying the optimum allocation technique to select representative samples that reflect an entire database.
Li, Y, Li, Yan, Siuly, Siuly, Siuly
core   +1 more source

A High‐Precision Dynamic Movement Recognition Algorithm Using Multimodal Biological Signals for Human–Machine Interaction

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This article describes a multimodal fusion data acquisition and processing system about electromyography for dynamic movement recognition and bioelectrical impedance for key posture recognition. In addition, a new dynamic–static fusion algorithm strategy is designed.
Chenhao Cao, Gang Ma, Zelin Chen, Yiming Ouyang, Hu Jin, Shiwu Zhang   +5 more
wiley   +1 more source