Results 241 to 250 of about 22,581 (258)
Some of the next articles are maybe not open access.
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
Photonic Spiking Neural Networks and Graphene-on-Silicon Spiking Neurons
Journal of Lightwave Technology, 2022Bhavin J Shastri +2 more
exaly
Simple framework for constructing functional spiking recurrent neural networks
Proceedings of the National Academy of Sciences of the United States of America, 2019Terrence Sejnowski, , Yinghao Li
exaly
Networks of spiking neurons: The third generation of neural network models
Neural Networks, 1997Wolfgang Maass
exaly
Going Deeper in Spiking Neural Networks: VGG and Residual Architectures
Frontiers in Neuroscience, 2019Abhronil Sengupta +2 more
exaly
Spiking Neural Networks Hardware Implementations and Challenges
ACM Journal on Emerging Technologies in Computing Systems, 2019Edith Beigné +2 more
exaly
Photonic In-Memory Computing Primitive for Spiking Neural Networks Using Phase-Change Materials
Physical Review Applied, 2019Indranil Chakraborty
exaly
Neuromorphic Spiking Neural Networks and Their Memristor-CMOS Hardware Implementations
Materials, 2019Maria Teresa Serrano Gotarredona +2 more
exaly
Spatio-Temporal Backpropagation for Training High-Performance Spiking Neural Networks
Frontiers in Neuroscience, 2018Lei Deng, Guoqi Li, Luping Shi
exaly