Results 281 to 290 of about 3,555,912 (299)
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
Supervised learning in spiking neural networks: A review of algorithms and evaluations
Neural Networks, 2020Xiaochao Dang +2 more
exaly
Learning rules in spiking neural networks: A survey
Neurocomputing, 2023Qidong Liu, Jing Lian, Hegui Zhu
exaly
Networks of spiking neurons: The third generation of neural network models
Neural Networks, 1997Wolfgang Maaß
exaly
Supervised Learning Based on Temporal Coding in Spiking Neural Networks
IEEE Transactions on Neural Networks and Learning Systems, 2017Hesham Mostafa
exaly
A behavior controller based on spiking neural networks for mobile robots
Neurocomputing, 2008Long Cheng, Anmin Zou, Zeng-Guang Hou
exaly
Supervised learning in spiking neural networks with noise-threshold
Neurocomputing, 2017Hong Qu, Malu Zhang, Xiurui Xie
exaly