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A spiking neural network-based approach to bearing fault diagnosis
Journal of Manufacturing Systems, 2021Lin Zuo, Yu Liu
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Information Encoding in Bursting Spiking Neural Network Modulated by Astrocytes
Entropy, 2023Sergey Stasenko +2 more
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Image Interpolation Based on Spiking Neural Network Model
Applied Sciences (Switzerland), 2023Mürsel Ozan İncetaş
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Nonvolatile Memories in Spiking Neural Network Architectures: Current and Emerging Trends
Electronics (Switzerland), 2022Anup Das +2 more
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Neuromorphic Tactile Edge Orientation Classification in an Unsupervised Spiking Neural Network
Sensors, 2022Nathan Lepora +2 more
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Backpropagation With Sparsity Regularization for Spiking Neural Network Learning
Frontiers in Neuroscience, 2022Lirong Zheng, Zhuo Zou, Yuxiang Huan
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An Overview on Applications of Spiking Neural Networks and Spiking Neural P Systems
Spiking Neural Networks (SNNs) and Spiking Neural P Systems (SNPSs) are advanced computational models inspired by the biological processes of the human brain. SNNs use discrete spikes to transmit information between neurons, offering a more energy-efficient and biologically plausible approach compared to traditional neural networks.openaire +1 more source
Dynamic Image Representation in a Spiking Neural Network Supplied by Astrocytes
Mathematics, 2023Sergey Stasenko +2 more
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Networks of spiking neurons: The third generation of neural network models
Neural Networks, 1997Wolfgang Maass
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