Multi-scale asynchronous correlation and 2D convolutional autoencoder for adolescent health risk prediction with limited fMRI data [0.03%]
基于有限fMRI数据的青少年健康风险预测的多尺度异步相关和二维卷积自编码器
Di Gao,Guanghao Yang,Jiarun Shen et al.
Di Gao et al.
Introduction: Adolescence is a fundamental period of transformation, encompassing extensive physical, psychological, and behavioral changes. Effective health risk assessment during this stage is crucial for timely interve...
Decoding the application of deep learning in neuroscience: a bibliometric analysis [0.03%]
基于文献计量的深度学习在神经科学中应用研究解读
Yin Li,Zilong Zhong
Yin Li
The application of deep learning in neuroscience holds unprecedented potential for unraveling the complex dynamics of the brain. Our bibliometric analysis, spanning from 2012 to 2023, delves into the integration of deep learning in neurosci...
Optimizing extubation success: a comparative analysis of time series algorithms and activation functions [0.03%]
优化拔管成功的预测：时间序列算法和激活函数的比较分析研究
Kuo-Yang Huang,Ching-Hsiung Lin,Shu-Hua Chi et al.
Kuo-Yang Huang et al.
Background: The success and failure of extubation of patients with acute respiratory failure is a very important issue for clinicians, and the failure of the ventilator often leads to possible complications, which in turn...
Editorial: Understanding and bridging the gap between neuromorphic computing and machine learning, volume II [0.03%]
社论：理解类脑计算与机器学习之间的差距及相互联系（下篇）
Lei Deng,Huajin Tang,Kaushik Roy
Lei Deng
Multi-label remote sensing classification with self-supervised gated multi-modal transformers [0.03%]
自监督门控多模态变换器在遥感领域的多标签分类中的应用研究
Na Liu,Ye Yuan,Guodong Wu et al.
Na Liu et al.
Introduction: With the great success of Transformers in the field of machine learning, it is also gradually attracting widespread interest in the field of remote sensing (RS). However, the research in the field of remote ...
Dynamical predictive coding with reservoir computing performs noise-robust multi-sensory speech recognition [0.03%]
基于蓄水池计算的动态预测编码具有抗噪多模态语音识别性能
Yoshihiro Yonemura,Yuichi Katori
Yoshihiro Yonemura
Multi-sensory integration is a perceptual process through which the brain synthesizes a unified perception by integrating inputs from multiple sensory modalities. A key issue is understanding how the brain performs multi-sensory integration...
Analyzing top-down visual attention in the context of gamma oscillations: a layer- dependent network-of- networks approach [0.03%]
基于gamma振荡的自上而下视觉注意的层依赖型网络模型分析研究
Tianyi Zheng,Masato Sugino,Yasuhiko Jimbo et al.
Tianyi Zheng et al.
Top-down visual attention is a fundamental cognitive process that allows individuals to selectively attend to salient visual stimuli in the environment. Recent empirical findings have revealed that gamma oscillations participate in the modu...
Deep learning-based Alzheimer's disease detection: reproducibility and the effect of modeling choices [0.03%]
基于深度学习的阿尔茨海默病检测：可重复性和建模选择的影响
Rosanna Turrisi,Alessandro Verri,Annalisa Barla
Rosanna Turrisi
Introduction: Machine Learning (ML) has emerged as a promising approach in healthcare, outperforming traditional statistical techniques. However, to establish ML as a reliable tool in clinical practice, adherence to best ...
Electroencephalogram-based adaptive closed-loop brain-computer interface in neurorehabilitation: a review [0.03%]
基于脑电图的自适应闭环脑机接口在神经康复中的应用：综述
Wenjie Jin,XinXin Zhu,Lifeng Qian et al.
Wenjie Jin et al.
Brain-computer interfaces (BCIs) represent a groundbreaking approach to enabling direct communication for individuals with severe motor impairments, circumventing traditional neural and muscular pathways. Among the diverse array of BCI tech...
Reinforcement learning as a robotics-inspired framework for insect navigation: from spatial representations to neural implementation [0.03%]
强化学习作为受机器人技术启发的昆虫导航框架：从空间表征到神经实现
Stephan Lochner,Daniel Honerkamp,Abhinav Valada et al.
Stephan Lochner et al.
Bees are among the master navigators of the insect world. Despite impressive advances in robot navigation research, the performance of these insects is still unrivaled by any artificial system in terms of training efficiency and generalizat...