Results 121 to 130 of about 5,180,795 (305)
Different brain circuits underlie motor and perceptual representations of temporal intervals [PDF]
, 2008 In everyday life, temporal information is used for both perception and action, but whether these two functions reflect the operation of similar or different neural circuits is unclear.
Walsh, V. +7 more
core +1 more source
Directional Spatial and Spectral Attention Network (DSSA Net) for EEG-based emotion recognition
Frontiers in NeuroroboticsSignificant strides have been made in emotion recognition from Electroencephalography (EEG) signals. However, effectively modeling the diverse spatial, spectral, and temporal features of multi-channel brain signals remains a challenge.
Jiyao Liu +3 more
doaj +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To evaluate the expression of nine blood RNA biomarkers in a clinical trial based on genes previously identified in an experimental monkey model of stroke for diagnosis feasibility and prognostication. Methods IBIS‐CT1 was a prospective longitudinal study enrolling patients with ischemic stroke (IS) or intracerebral hemorrhage (ICH ...
Salomé Retailleau +11 more
wiley +1 more source
Spiking Transformer with Spatial-Temporal Attention
2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)Spike-based Transformer presents a compelling and energy-efficient alternative to traditional Artificial Neural Network (ANN)-based Transformers, achieving impressive results through sparse binary computations. However, existing spike-based transformers predominantly focus on spatial attention while neglecting crucial temporal dependencies inherent in ...
Donghyun Lee 0002 +4 more
openaire +3 more sources
Hierarchical Representations for Spatio-Temporal Visual Attention Modeling and Understanding
, 2023 This PhD. Thesis concerns the study and development of hierarchical representations for spatio-temporal visual attention modeling and understanding in video sequences. More specifically, we propose two computational models for visual attention. First, we
Fernández-Torres, Miguel-Ángel
core
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To determine whether myelin‐sensitive quantitative MRI reveals microstructural abnormalities in normal‐appearing cortex (NACtx) in myelin oligodendrocyte glycoprotein antibody–associated disease (MOGAD), indicating that conventional MRI underestimates remission residual cortical injury.
Valentina Camera +20 more
wiley +1 more source
IEEE AccessIn the dynamic and complex environment of financial markets, the precision of forecasts is paramount for informed decision-making and risk mitigation.
Shi-Chang Liu
doaj +1 more source
Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif +17 more
wiley +1 more source
Attentional Enhancement of Auditory Mismatch Responses: a DCM/MEG Study. [PDF]
, 2015 Despite similar behavioral effects, attention and expectation influence evoked responses differently: Attention typically enhances event-related responses, whereas expectation reduces them.
Auksztulewicz, R, Friston, K
core
Multi-Scale Temporal Fusion Network for Real-Time Multimodal Emotion Recognition in IoT Environments
SensorsThis paper introduces EmotionTFN (Emotion-Multi-Scale Temporal Fusion Network), a novel hierarchical temporal fusion architecture that addresses key challenges in IoT emotion recognition by processing diverse sensor data while maintaining accuracy across
Sungwook Yoon, Byungmun Kim
doaj +1 more source