Peter Cariani,Janet M Baker
Peter Cariani
Here we present evidence for the ubiquity of fine spike timing and temporal coding broadly observed across sensory systems and widely conserved across diverse phyla, spanning invertebrates and vertebrates. A taxonomy of basic neural coding ...
Generalizing location-centric variations to enhance contactless human activity recognition [0.03%]
基于位置的无接触人体活动识别方法的泛化性研究
Fawad Khan,Syed Yaseen Shah,Jawad Ahmad et al.
Fawad Khan et al.
Contactless Human Activity Recognition (HAR) has played a critical role in smart healthcare and elderly care homes to monitor patient behavior, detect falls or abnormal activities in real time. The effectiveness of non-invasive HAR is often...
Analysis of argument structure constructions in a deep recurrent language model [0.03%]
深度循环语言模型中的论点结构构造分析
Pegah Ramezani,Achim Schilling,Patrick Krauss
Pegah Ramezani
Understanding how language and linguistic constructions are processed in the brain is a fundamental question in cognitive computational neuroscience. This study builds directly on our previous work analyzing Argument Structure Constructions...
CNN-BiLSTM and DC-IGN fusion model and piecewise exponential attenuation optimization: an innovative approach to improve EEG emotion recognition performance [0.03%]
基于CNN-BiLSTM和DC-IGN融合模型及分段指数衰减优化的脑电情绪识别方法
Shaohua Zhang,Yan Feng,Ruzhen Chen et al.
Shaohua Zhang et al.
EEG emotion recognition has important applications in human-computer interaction and mental health assessment, but existing models have limitations in capturing the complex spatial and temporal features of EEG signals. To overcome this prob...
Reductionist modeling of calcium-dependent dynamics in recurrent neural networks [0.03%]
钙依赖型递归神经网络动态的还原论建模方法研究
Mustafa Zeki,Tamer Dag
Mustafa Zeki
Mathematical analysis of biological neural networks, specifically inhibitory networks with all-to-all connections, is challenging due to their complexity and non-linearity. In examining the dynamics of individual neurons, many fast currents...
Multi-atlas ensemble graph neural network model for major depressive disorder detection using functional MRI data [0.03%]
基于功能磁共振影像的主要抑郁症图论指标多 atlas集成模型研究
Nojod M Alotaibi,Areej M Alhothali,Manar S Ali
Nojod M Alotaibi
Major depressive disorder (MDD) is one of the most common mental disorders, with significant impacts on many daily activities and quality of life. It stands as one of the most common mental disorders globally and ranks as the second leading...
Enhancing medical image privacy in IoT with bit-plane level encryption using chaotic map [0.03%]
基于混沌映射的比特平面加密增强物联网中医疗图像隐私性
Fatima Asiri,Wajdan Al Malwi,Tamara Zhukabayeva et al.
Fatima Asiri et al.
Introduction: Preserving privacy is a critical concern in medical imaging, especially in resource limited settings like smart devices connected to the IoT. To address this, a novel encryption method for medical images tha...
Constraint-based modeling of bioenergetic differences between synaptic and non-synaptic components of dopaminergic neurons in Parkinson's disease [0.03%]
基于约束的建模揭示帕金森病多巴胺能神经元突触和非突触组分之间的生物能量差异
Xi Luo,Diana C El Assal,Yanjun Liu et al.
Xi Luo et al.
Introduction: Emerging evidence suggests that different metabolic characteristics, particularly bioenergetic differences, between the synaptic terminal and soma may contribute to the selective vulnerability of dopaminergi...
Neural oscillation in low-rank SNNs: bridging network dynamics and cognitive function [0.03%]
低秩SNNs中的神经振荡：连接网络动力学和认知功能
Bin Li,Tianyi Zheng,Reo Otsuki et al.
Bin Li et al.
Neural oscillation, particularly gamma oscillation, are fundamental to cognitive processes such as attention, perception, and decision-making. Experimental studies have shown that the phase of gamma oscillation modulates neuronal response s...
A new method for community-based intelligent screening of early Alzheimer's disease populations based on digital biomarkers of the writing process [0.03%]
基于书写过程数字生物标志物的社区智能筛查早期阿尔茨海默病人群的新方法
Shuwu Li,Kai Li,Jiakang Liu et al.
Shuwu Li et al.
Background: In response to the shortcomings of the current Alzheimer's disease (AD) early populations assessment, which is based on neuropsychological scales with high subjectivity, low accuracy of repeated measurements, ...