New approximation method for smooth error backpropagation in a quantron network

DOI10.1016/j.neunet.2014.07.015zbMath1368.92021OpenAlexW2065216265WikidataQ51047108 ScholiaQ51047108MaRDI QIDQ889323

Simon de Montigny

Publication date: 6 November 2015

Published in: Neural Networks (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.neunet.2014.07.015

zbMATH Keywords

classificationbackpropagationspiking neuronssmooth approximationquantrons

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Neural networks for/in biological studies, artificial life and related topics (92B20)

Cites Work

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• A remark on the error-backpropagation learning algorithm for spiking neural networks
• A gradient descent rule for spiking neurons emitting multiple spikes
• Error-backpropagation in temporally encoded networks of spiking neurons
• A supervised multi-spike learning algorithm based on gradient descent for spiking neural networks
• Learning representations by back-propagating errors

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