Learning to Discriminate Through Long-Term Changes of Dynamical Synaptic Transmission

DOI10.1162/NECO.2009.12-08-929zbMath1180.92014OpenAlexW2099650216WikidataQ51792128 ScholiaQ51792128MaRDI QIDQ3650543

Michael H. K. Bendels, Christian Leibold

Publication date: 14 December 2009

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

Full work available at URL: https://epub.ub.uni-muenchen.de/14751/1/leibold_14751.pdf

Mathematics Subject Classification ID

Neural biology (92C20) Neural networks for/in biological studies, artificial life and related topics (92B20)

Cites Work

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• The interaction space of neural networks with sign-constrained synapses
• Perceptron capacity revisited: classification ability for correlated patterns
• On the Classification Capability of Sign-Constrained Perceptrons
• Real-Time Computing Without Stable States: A New Framework for Neural Computation Based on Perturbations

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