On the Classification Capability of Sign-Constrained Perceptrons

DOI10.1162/neco.2008.20.1.288zbMath1148.92009OpenAlexW2092186110WikidataQ51899604 ScholiaQ51899604MaRDI QIDQ3539965

Robert A. Legenstein, Wolfgang Maass

Publication date: 19 November 2008

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

Full work available at URL: https://doi.org/10.1162/neco.2008.20.1.288

Mathematics Subject Classification ID

Neural biology (92C20)

Related Items (4)

Positive Neural Networks in Discrete Time Implement Monotone-Regular Behaviors ⋮ Maintaining Consistency of Spatial Information in the Hippocampal Network: A Combinatorial Geometry Model ⋮ Supervised learning with decision margins in pools of spiking neurons ⋮ Learning to Discriminate Through Long-Term Changes of Dynamical Synaptic Transmission

Cites Work

• The interaction space of neural networks with sign-constrained synapses
• The space of interactions in neural network models
• On the Uniform Convergence of Relative Frequencies of Events to Their Probabilities
• A logical calculus of the ideas immanent in nervous activity

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