Unsupervised learnable neuron model with nonlinear interaction on dendrites

DOI10.1016/J.NEUNET.2014.07.011zbMath1325.68201DBLPjournals/nn/TodoTYT14OpenAlexW2017115408WikidataQ50637939 ScholiaQ50637939MaRDI QIDQ889327

Zheng Tang, Kazuya Yamashita, Yuki Todo, Hiroki Tamura

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.2014.07.011

zbMATH Keywords

interactionunsupervised learningdendritesneuron modeldirectionally selective cells

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (2)

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Uses Software

• JBool

Cites Work

• Multilayer Processing of Spatiotemporal Spike Patterns in a Neuron with Active Dendrites
• A logical calculus of the ideas immanent in nervous activity
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