内容提示: TactileSGNet: A Spiking Graph Neural Network for Event-basedTactile Object RecognitionFuqiang Gu, Weicong Sng, Tasbolat Taunyazov, and Harold SohDept. of Computer Science, School of Computing,National University of Singapore{gufq, sngweicong, tasbolat, harold}@comp.nus.edu.sgAbstract...
据我们所知,TactileSignet是第一个用于触觉数据的事件驱动图神经网络。一个相关的模型是最近提出的TactileGCN[16],它使用图卷积网络(GCN)[17]进行触觉对象识别。这项工作的关键区别在于,TactileSignet是事件驱动的(带有尖峰神经元),我们利用了拓扑自适应图卷积网络(TAGCN)[18];此前已证明,TAGCN具有优异的性能,同时与...
In this paper, we propose a novel spiking graph neural network for event-based tactile object recognition. To make use of local connectivity of taxels, we present several methods for organizing the tactile data in a graph structure. Based on the constructed graphs, we develop a spiking graph ...
Spiking neural networkReal-time emotion recognition with electroencephalograph (EEG) has been an active field of research in recent years. In particular, deep learning has been shown to be effective in emotion classification tasks. However, the monitoring of EEG signals is a continuous process, ...
(视频地址) 卷积神经网络(Convolutional Neural Network,简称CNN),在图像处理方面的效果一直非常突出。今天我们就来看一下CNN的原理,并探究一下其效果如此好的原因。 为什么用CNN来识别图像(Why CNN for Image) Motivation to use CNN: previou... 图神经网络Graph Neural Network...
A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks [paper] [arxiv] [paper with code] [code] [openreview] SpikePoint: An Efficient Point-based Spiking Neural Network for Event Cameras Action Recognition [paper] [arxiv] [paper with code] [openreview]...
Specifically, we use a spiking neural network to classify sleep EEG signals. In addition, we adopt a hybrid macro/micro back propagation algorithm, aiming to overcome the limitations of existing error back propagation methods for spiking neural network. In order to verify the effectiveness of HSNN...
The factor by which the weight of synapse is increased is inversly proportional to the time difference between post synaptic and pre synaptic spikes given by this graph Generative Property of SNN This property of Spiking Neural Network is very useful in analysing training process. All the synapses...
Spiking-YOLO:SpikingNeuralNetworkforReal-timeObjectDetection这是一篇来自韩国的比较冷门或者前沿一点的文章,研究方向是脉冲神经网络(SpikingNeuralNetworks)与YOLO算法的融合,发现韩国人特别擅长对YOLO,SSD等算法进行魔改啊。 文章贡献提出一种在深度SNN中能够进行快速精确信息传输的 ...
Complex brain networks: graph theoretical analysis of structural and functional systems Nature Reviews Neuroscience, 10 (3) (2009), pp. 186-198 CrossrefView in ScopusGoogle Scholar [9] N K Kasabov Evolving connectionist systems: the knowledge engineering approach Springer, London (2007) first editio...