Supervised learning in spiking neural networks: A review of algorithms and evaluations-Reference-Cited by-同舟云学术

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Supervised learning in spiking neural networks: A review of algorithms and evaluations

Published:2020-05 Issue: Volume:125 Page:258-280
ISSN:0893-6080
Container-title:Neural Networks
language:en
Short-container-title:Neural Networks

Author:

Wang Xiangwen,Lin Xianghong,Dang Xiaochao

Funder

National Natural Science Foundation of China

Lanzhou Municipal Science and Technology Project, China

Northwest Normal University, China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience

Reference224 articles.

1. Supervised training of spiking neural network by adapting the E-MWO algorithm for pattern classification;Abusnaina;Neural Processing Letters,2019

2. Review of advances in neural networks: Neural design technology stack;Almási;Neurocomputing,2016

3. Dynamics of a recurrent network of spiking neurons before and following learning;Amit;Network. Computation in Neural Systems,1997

4. A theory of local learning, the learning channel, and the optimality of backpropagation;Baldi;Neural Networks,2016

5. Learning precise spike train-to-spike train transformations in multilayer feedforward neuronal networks;Banerjee;Neural Computation,2016

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