Jingxin Fan,Mingfu Zhao,Li Huang et al.
Jingxin Fan et al.
Background: Automatic sleep staging is essential for assessing sleep quality and diagnosing sleep disorders. While previous research has achieved high classification performance, most current sleep staging networks have o...
FacialNet: facial emotion recognition for mental health analysis using UNet segmentation with transfer learning model [0.03%]
基于迁移学习模型的UNet分割面部情感识别方法
In-Seop Na,Asma Aldrees,Abeer Hakeem et al.
In-Seop Na et al.
Facial emotion recognition (FER) can serve as a valuable tool for assessing emotional states, which are often linked to mental health. However, mental health encompasses a broad range of factors that go beyond facial expressions. While FER ...
Research on adverse event classification algorithm of da Vinci surgical robot based on Bert-BiLSTM model [0.03%]
基于Bert-BiLSTM模型的达芬奇手术机器人不良事件分类算法研究
Tianchun Li,Wanting Zhu,Wenke Xia et al.
Tianchun Li et al.
This study aims to enhance the classification accuracy of adverse events associated with the da Vinci surgical robot through advanced natural language processing techniques, thereby ensuring medical device safety and protecting patient heal...
Daria de Tinguy,Tim Verbelen,Bart Dhoedt
Daria de Tinguy
Inspired by animal navigation strategies, we introduce a novel computational model to navigate and map a space rooted in biologically inspired principles. Animals exhibit extraordinary navigation prowess, harnessing memory, imagination, and...
Editorial: Symmetry as a guiding principle in artificial and brain neural networks, volume II [0.03%]
编者按：对称性作为人工神经网络和脑神经网络的指导原则（下篇）
Fabio Anselmi,Ankit B Patel
Fabio Anselmi
A framework for optimal control of oscillations and synchrony applied to non-linear models of neural population dynamics [0.03%]
应用于神经元群体非线性模型的最优控制框架：用于控制振荡和同步性
Lena Salfenmoser,Klaus Obermayer
Lena Salfenmoser
We adapt non-linear optimal control theory (OCT) to control oscillations and network synchrony and apply it to models of neural population dynamics. OCT is a mathematical framework to compute an efficient stimulation for dynamical systems. ...
Spike-HAR++: an energy-efficient and lightweight parallel spiking transformer for event-based human action recognition [0.03%]
基于事件的人体动作识别的节能轻量级并行脉冲变压器 Spike-HAR++
Xinxu Lin,Mingxuan Liu,Hong Chen
Xinxu Lin
Event-based cameras are suitable for human action recognition (HAR) by providing movement perception with highly dynamic range, high temporal resolution, high power efficiency and low latency. Spike Neural Networks (SNNs) are naturally suit...
Pan Xia,Henry D I Abarbanel
Pan Xia
The nucleus HVC within the avian song system produces crystalized instructions which lead to precise, learned vocalization in zebra finches (Taeniopygia guttata). This paper proposes a model of the HVC neural network based on the physiologi...
A novel method for optimizing epilepsy detection features through multi-domain feature fusion and selection [0.03%]
一种通过跨领域特征融合和选择优化癫痫检测特征的新方法
Guanqing Kong,Shuang Ma,Wei Zhao et al.
Guanqing Kong et al.
Background: The methods used to detect epileptic seizures using electroencephalogram (EEG) signals suffer from poor accuracy in feature selection and high redundancy. This problem is addressed through the use of a novel m...
Modeling functional connectivity changes during an auditory language task using line graph neural networks [0.03%]
基于线图神经网络的听觉语言任务功能连接变化建模
Stein Acker,Jinqing Liang,Ninet Sinaii et al.
Stein Acker et al.
Functional connectivity (FC) refers to the activation correlation between different brain regions. FC networks as typically represented as graphs with brain regions of interest (ROIs) as nodes and functional correlation as edges. Graph neur...