Computational modelling reveals neurobiological contributions to static and dynamic functional connectivity patterns [0.03%]
计算模型揭示了神经生物学对稳态和动态功能连接模式的贡献
Linnea Hoheisel,Hannah Hacker,Gereon R Fink et al.
Linnea Hoheisel et al.
Functional connectivity (FC) is a widely used indicator of brain function in health and disease, yet its neurobiological underpinnings still need to be firmly established. Recent advances in computational modelling allow us to investigate t...
The role of IP3 receptors and SERCA pumps in restoring working memory under amyloid β induced Alzheimer's disease: a modeling study [0.03%]
IP3受体和SERCA泵在淀粉样β蛋白诱导的阿尔茨海默病下恢复工作记忆中的作用：建模研究
Ziyi Huang,Lei Wang
Ziyi Huang
Memory impairment is a prevalent symptom in patients with Alzheimer's disease (AD), with working memory loss being the most prominent deficit. Recent experimental evidence suggests that abnormal calcium levels in the Endoplasmic Reticulum (...
Resource-dependent heterosynaptic spike-timing-dependent plasticity in recurrent networks with and without synaptic degeneration [0.03%]
基于资源的异突触依赖性脉冲时序可塑性在反复发生网络中的作用——有或没有突触退化的效果
James Humble
James Humble
Many computational models that incorporate spike-timing-dependent plasticity (STDP) have shown the ability to learn from stimuli, supporting theories that STDP is a sufficient basis for learning and memory. However, to prevent runaway activ...
Neural correspondence to spectrum of environmental uncertainty in multiple-cue probability judgment system with time delay [0.03%]
具有时间延迟的多线索概率判断系统中环境不确定性的神经对应关系及频谱分析
Yoo-Sang Chang,Younho Seong,Sun Yi
Yoo-Sang Chang
Despite state-of-the-art technologies like artificial intelligence, human judgment is critically essential in cooperative systems, such as the multi-agent system (MAS), which collect information among agents based on multiple-cue judgment. ...
ModFus-PD: synergizing cross-modal attention and contrastive learning for enhanced multimodal diagnosis of Parkinson's disease [0.03%]
基于跨模态注意和对比学习的帕金森病增强型多模态诊断方法（ModFus-PD）
Xiangze Teng,Xiang Li,Benzheng Wei
Xiangze Teng
Parkinson's disease (PD) is a complex neurodegenerative disorder characterized by a high rate of misdiagnosis, underscoring the critical importance of early and accurate diagnosis. Although existing computer-aided diagnostic systems integra...
Birger Johansson,Trond A Tjøstheim,Christian Balkenius
Birger Johansson
System-level brain modeling is a powerful method for building computational models of the brain and allows biologically motivated models to produce measurable behavior that can be tested against empirical data. System-level brain models occ...
The cognitive impacts of large language model interactions on problem solving and decision making using EEG analysis [0.03%]
基于EEG分析的大规模语言模型交互对问题解决和决策认知影响的研究
Ting Jiang,Jihua Wu,Stephen C H Leung
Ting Jiang
Introduction: The increasing integration of large language models (LLMs) into human-AI collaboration necessitates a deeper understanding of their cognitive impacts on users. Traditional evaluation methods have primarily f...
Analytical computation for segmentation and classification of lumbar vertebral fractures [0.03%]
Lumbar椎体骨折分割与分类的分析计算方法研究
Roseline Nyange,Hemachandran Kannan,Channabasava Chola et al.
Roseline Nyange et al.
Spinal health forms the cornerstone of the overall human body functionality with the lumbar spine playing a critical role and prone to various types of injuries due to inflammation and diseases, including lumbar vertebral fractures. This pa...
Fufeng Wang,Zihe Luo,Wei Lv et al.
Fufeng Wang et al.
ECoG signals are widely used in Brain-Computer Interfaces (BCIs) due to their high spatial resolution and superior signal quality, particularly in the field of neural control. ECoG enables more accurate decoding of brain activity compared t...
Modeling autonomous shifts between focus state and mind-wandering using a predictive-coding-inspired variational recurrent neural network [0.03%]
基于预测编码的变分递归神经网络 Modeling 自主注意力状态和思维游离之间的转换
Henrique Oyama,Takazumi Matsumoto,Jun Tani
Henrique Oyama
Mind-wandering reflects a dynamic interplay between focused attention and off-task mental states. Despite its relevance in understanding fundamental cognitive processes, such as attention regulation, decision-making, and creativity, previou...