Arbor-TVB: a novel multi-scale co-simulation framework with a case study on neural-level seizure generation and whole-brain propagation [0.03%]
一种新的多尺度联合仿真框架及神经水平癫痫发作产生和全脑传播的案例研究
Thorsten Hater,Juliette Courson,Han Lu et al.
Thorsten Hater et al.
Computational neuroscience has traditionally focused on isolated scales, limiting understanding of brain function across multiple levels. While microscopic models capture biophysical details of neurons, macroscopic models describe large-sca...
Antonio de Candia,Davide Conte,Hanieh A Golpayegan et al.
Antonio de Candia et al.
Modularity is as a key characteristic of structural and functional brain networks across species and spatial scales. We investigate the stochastic Wilson-Cowan model on a modular network in which synaptic strengths differ between intra-modu...
AI-driven audience clustering in sport media: a human-computer interaction approach using 'CoPE-DEC' [0.03%]
基于人机交互的体育媒体观众分类：使用“CoPE-DEC”的人工智能驱动方法
Yong-Seok Jang
Yong-Seok Jang
This study investigates the characteristics and underlying patterns of sports media audiences from a human-computer interaction (HCI) perspective using artificial intelligence-based deep learning analysis, with the aim of providing foundati...
MS-DASPNet: Multiple Sclerosis lesion segmentation from brain MRI using dual attention and spatial pyramid pooling with transfer learning [0.03%]
基于转移学习的双注意力和空间金字塔池化技术的脑部MRI在多发性硬化病灶分割中的应用（MS-DASPNet）
Shikha Jain,Navin Rajpal,Pramod Kumar Soni
Shikha Jain
Accurate detection and segmentation of multiple sclerosis (MS) lesions in brain Magnetic Resonance Imaging (MRI) is a challenging task due to their small size, irregular shape, and variability in different imaging modalities. Precise segmen...
Przemysław Śliwiński
Przemysław Śliwiński
Purpose: An information theory-based framework is proposed in attempt to explain insistence on sameness in autism as an instance of a general behavior pattern in which an individual tries to reduce surprise and uncertaint...
M Shane Li,Benyuan Liu,Keith W van Antwerp et al.
M Shane Li et al.
The recently developed phenomenological renormalization group (pRG) analysis has uncovered scale-free properties in large-scale neural population recordings across recording modalities, including extracellular electrophysiology and calcium ...
Causal links between serotonin dynamics and cued fear learning: evidence from experimental studies [0.03%]
五-羟色胺动态与条件恐惧学习之间的因果关系：实验研究证据
Afarin Badripour,Taegon Kim
Afarin Badripour
Serotonin is thought to regulate emotional learning and memory, but there remains much to be explored regarding its causal role in cued fear conditioning and extinction (CFC-E). Recent in vivo recording of dorsal raphe nucleus serotonin neu...
Towards robust probabilistic maps in Deep Brain Stimulation: exploring the impact of patient number, stimulation counts, and statistical approaches [0.03%]
稳健的概率地图在深部脑刺激中的应用：探究患者数量、刺激次数和统计方法的影响
Vittoria Bucciarelli,Dorian Vogel,Karin Wårdell et al.
Vittoria Bucciarelli et al.
Introduction: Probabilistic Stimulation Maps (PSMs) are increasingly employed to identify brain regions associated with optimal therapeutic outcomes in Deep Brain Stimulation (DBS). However, their reliability and generali...
F2-CommNet: Fourier-Fractional neural networks with Lyapunov stability guarantees for hallucination-resistant community detection [0.03%]
基于李雅普诺夫稳定性保证的傅里叶-分数阶神经网络社区检测方法及无幻觉通信网
Daozheng Qu,Yanfei Ma
Daozheng Qu
Community detection is a crucial task in network research, applicable to social systems, biology, cybersecurity, and knowledge graphs. Recent advancements in graph neural networks (GNNs) have exhibited significant representational capabilit...