A gender-aware saliency prediction system for web interfaces using deep learning and eye-tracking data [0.03%]
基于深度学习和眼动追踪数据的网页界面性别感知注意力预测系统
Pablo Villanueva González,Cristobal Subiabre Cuevas,Lino Jeldez et al.
Pablo Villanueva González et al.
Understanding how demographic factors influence visual attention is crucial for the development of adaptive and user-centered web interfaces. This paper presents a gender-aware saliency prediction system based on fine-tuned deep learning mo...
Regulation of tau protein by circCwc27: shared pathogenic mechanisms in type 2 diabetes mellitus and Alzheimer's disease [0.03%]
环状RNA circCwc27通过tau蛋白调节在2型糖尿病和阿尔茨海默病中共享的致病机制
Keying Fang,Bin Jiao,Lu Shen et al.
Keying Fang et al.
Background: Alzheimer's disease (AD) and type 2 diabetes mellitus (T2DM) are distinct yet interconnected disorders that frequently co-occur. While insulin resistance and impaired glucose metabolism have been implicated in...
Post-stroke brain functional reorganization is associated with glymphatic dysfunction during stroke recovery [0.03%]
卒中恢复期间与脑功能重组相关的glymphatic功能障碍
Yueyan Bian,Jiajia Zhang,Yifei Zhang et al.
Yueyan Bian et al.
A hybrid neuromarketing approach exploiting EEG graph signal processing and gaze dynamic patterning [0.03%]
结合EEG图信号处理和注视动态模式的混合神经营销方法
Fotis P Kalaganis,Kostas Georgiadis,Vangelis P Oikonomou et al.
Fotis P Kalaganis et al.
In this study, we propose a hybrid decoding scheme for classifying consumer intent in a binary decision-making scenario ("Buy" vs. "NoBuy"), using simultaneous electroencephalography (EEG) and eye-tracking data. The proposed framework integ...
Revolutionizing cross professional collaboration outcomes in TBI: emerging trends in diagnostics, personalized medicine, technological innovations and neurorehabilitation [0.03%]
创伤性脑损伤的跨专业协作成果革新：诊断、个性化医疗、技术创新和神经康复的新趋势
Mubin Mustafa Kiyani,Shahid Bashir,Benish Shahzadi et al.
Mubin Mustafa Kiyani et al.
Traumatic brain injury (TBI) is still considered a major cause of morbidity and mortality worldwide, and its prevalence is increasing daily. TBI patients are facing difficult diagnostic, management, and rehabilitative challenges. This revie...
Enhancing neural rehabilitation insights: on the path of bridging artificial and biological neural networks [0.03%]
增强神经康复认知：连接人工和生物神经网络之路
Abdullatif Baba
Abdullatif Baba
This paper introduces the conceptual parallel between the ANN training process and the learning mechanisms of the human brain. Then, we briefly discuss a set of recently achieved experimental findings from a prior study that delves into var...
Zhi Li,Mingai Li,Yufei Yang
Zhi Li
Brain computer interface (BCI) provides a promising and intelligent rehabilitation method for motor function, and it is crucial to acquire the patient's movement intentions accurately through decoding motor imagery EEG (MI-EEG) . Because of...
An automated extraction of spectral-temporal and spatial-temporal features of EEG for emotion detection [0.03%]
用于情绪检测的EEG谱时域和空间时域特征的自动提取
Monira Islam,Tan Lee
Monira Islam
Emotion is an integral part of human cognitive processes and behaviors. Automatic detection and classification of human emotion has been a goal of applied research. This study presents an approach to detecting emotion from multivariate elec...
A single-snapshot inverse solver for two-species graph model of tau pathology spreading in human Alzheimer's disease [0.03%]
人类阿尔茨海默病中tau病理扩散二元图模型的单快照逆解法
Zheyu Wen,Ali Ghafouri,George Biros;the Alzheimer’s Disease Neuroimaging Initiative (ADNI)
Zheyu Wen
We propose a method that uses a two-species ordinary differential equation (ODE) model for subject-specific misfolded tau protein spreading in Alzheimer's disease (AD) and calibrates it from magnetic resonance imaging (MRI) and positron emi...
Domain Adaptation-enhanced searchlight: enabling classification of brain states from visual perception to mental imagery [0.03%]
领域适应增强型搜索灯：实现从视觉感知到心理意象的脑状态分类
Alexander Olza,David Soto,Roberto Santana
Alexander Olza
In cognitive neuroscience and brain-computer interface research, accurately predicting imagined stimuli is crucial. This study investigates the effectiveness of Domain Adaptation (DA) in enhancing imagery prediction using primarily visual d...