A computational model of Alzheimer's disease at the nano, micro, and macroscales [0.03%]
用于阿尔茨海默病的纳米、微米和宏观尺度上的计算模型
Éléonore Chamberland,Seyedadel Moravveji,Nicolas Doyon et al.
Éléonore Chamberland et al.
Introduction: Mathematical models play a crucial role in investigating complex biological systems, enabling a comprehensive understanding of interactions among various components and facilitating in silico testing of inte...
Epileptic seizure prediction based on EEG using pseudo-three-dimensional CNN [0.03%]
基于伪三维CNN的EEG信号癫痫发作预测模型
Xin Liu,Chunyang Li,Xicheng Lou et al.
Xin Liu et al.
Epileptic seizures are characterized by their sudden and unpredictable nature, posing significant risks to a patient's daily life. Accurate and reliable seizure prediction systems can provide alerts before a seizure occurs, as well as give ...
Automated analysis and detection of epileptic seizures in video recordings using artificial intelligence [0.03%]
基于人工智能的视频癫痫发作自动化分析及检测方法研究
Pragya Rai,Andrew Knight,Matias Hiillos et al.
Pragya Rai et al.
Introduction: Automated seizure detection promises to aid in the prevention of SUDEP and improve the quality of care by assisting in epilepsy diagnosis and treatment adjustment. ...
A scoping review of mathematical models covering Alzheimer's disease progression [0.03%]
阿尔茨海默病进展的数学模型的综述性研究
Seyedadel Moravveji,Nicolas Doyon,Javad Mashreghi et al.
Seyedadel Moravveji et al.
Alzheimer's disease is a complex, multi-factorial, and multi-parametric neurodegenerative etiology. Mathematical models can help understand such a complex problem by providing a way to explore and conceptualize principles, merging biologica...
Marlis Ontivero-Ortega,Jorge Iglesias-Fuster,Jhoanna Perez-Hidalgo et al.
Marlis Ontivero-Ortega et al.
Introduction: Previous studies suggest that co-fluctuations in neural activity within V1 (measured with fMRI) carry information about observed stimuli, potentially reflecting various cognitive mechanisms. This study explo...
Editorial: Navigating the landscape of FAIR data sharing and reuse: repositories, standards, and resources [0.03%]
编辑观点：在FAIR数据共享和重用的领域中航行：存储库、标准和资源
Maaike M H van Swieten,Christian Haselgrove
Maaike M H van Swieten
Exploring EEG-based motor imagery decoding: a dual approach using spatial features and spectro-spatial Deep Learning model IFNet [0.03%]
探索基于EEG的运动意象解码：使用空间特征和谱空间深度学习模型IFNet的双重方法
Javier V Juan,Rubén Martínez,Eduardo Iáñez et al.
Javier V Juan et al.
Introduction: In recent years, the decoding of motor imagery (MI) from electroencephalography (EEG) signals has become a focus of research for brain-machine interfaces (BMIs) and neurorehabilitation. However, EEG signals ...
Long-range temporal correlations in resting state alpha oscillations in major depressive disorder and obsessive-compulsive disorder [0.03%]
重度抑郁症和强迫症休息状态下的alpha振荡的长程时间相关性
Ekaterina Proshina,Olga Martynova,Galina Portnova et al.
Ekaterina Proshina et al.
Introduction: Mental disorders are a significant concern in contemporary society, with a pressing need to identify biological markers. Long-range temporal correlations (LRTC) of brain rhythms have been widespread in clini...
Comparing feature selection and machine learning approaches for predicting CYP2D6 methylation from genetic variation [0.03%]
比较基于特征选择和机器学习的方法从基因变异预测CYP2D6甲基化程度
Wei Jing Fong,Hong Ming Tan,Rishabh Garg et al.
Wei Jing Fong et al.
Introduction: Pharmacogenetics currently supports clinical decision-making on the basis of a limited number of variants in a few genes and may benefit paediatric prescribing where there is a need for more precise dosing. ...
Accelerating spiking neural network simulations with PymoNNto and PymoNNtorch [0.03%]
使用PymoNNto和PymoNNtorch加速尖峰神经网络模拟
Marius Vieth,Ali Rahimi,Ashena Gorgan Mohammadi et al.
Marius Vieth et al.
Spiking neural network simulations are a central tool in Computational Neuroscience, Artificial Intelligence, and Neuromorphic Engineering research. A broad range of simulators and software frameworks for such simulations exist with differe...