Denoising autoencoderSpiking Neural NetworkIndustrial data processIsonicotinic acid (INA) has attracted considerable interest as a crucial pharmaceutical intermediate, especially for the production of the anti-
Spiking Neural Network简述 传统神经网络包括现存的各种以perceptron为基本单元的拓扑变种, 比如卷积神经网络系列(CNNs), 循环神经网络系列(RNNs), 生成对抗网络(GANs), 自编码器(Autoencoders) 等等。 因为反向传播算法的存在和各类数学优化器的发展, 使得第二代神经网络在各项任务上有着出色的表现。 Spiking Neural...
In order to examine the effect of the proposed methods on more general SNN inference, an autoencoder capable of image compression and decompression was trained, as this method is a neural network application in which the actual activation value itself is important. The encoding part of the auto...
[18] combined stacked denoising autoencoder with Gath-Geva clustering algorithm for roller bearing fault diagnosis without a data label. Zhang et al. [19] introduced a compact convolutional neural network to detect the bearing faults where the features at different time scales were extracted from ...
Burbank, K. S. (2015). Mirrored stdp implements autoencoder learning in a network of spiking neurons.PLoS Computational Biology,11, 1004566.https://doi.org/10.1371/journal.pcbi.1004566 ArticleGoogle Scholar Cai, H., Gan, C., Wang, T., Zhang, Z., & Han, S. (2020). Once-for-all:...
[3] Joseph M Brader, Walter Senn, and Stefano Fusi. Learning real-world stimuli in a neural network with spike-driven synaptic dynamics. Neural computation, 19(11):2881-2912, 2007. [4] Kendra S Burbank. Mirrored stdp implements autoencoder learning in a network of spiking neurons. PLoS Com...
Spiking neural networks (SNNs) have attracted significant research attention due to their inherent sparsity and event-driven processing capabilities. Recen
Variational Autoencoder Variational Recurent Neural Network Generative models in SNN 脉冲GAN(Kotariya和Ganguly 2021)使用两层SNN构造生成器和鉴别器来训练GAN;生成的图像的质量低。其中一个原因是,初次脉冲时间编码(time-to-first spike encoding)不能在脉冲序列的中间抓取整个图像。此外,由于SNN的学习是不稳定的...
However, regarding SNN there is a lack of information concerning the encoding method, the learning approach, the structure of the network and the neuron model, impeding comparison, reproducibility and replication. Show abstract Spiking autoencoder for nonlinear industrial process fault detection 2024, ...
ARTICLE https://doi.org/10.1038/s42003-023-05257-4 OPEN Neural encoding with unsupervised spiking convolutional neural network Chong Wang1,2,3, Hongmei Yan 2,3✉, Wei Huang2,3, Wei Sheng2,3, Yuting Wang2,3, Yun-Shuang Fan2,3, Tao Liu2, Ting Zou2, Rong Li 2,3✉ & Huafu ...