dNSP: a biologically inspired dynamic neural network approach to signal processing

DOI10.1016/j.neunet.2008.03.015zbMath1254.92052DBLPjournals/nn/IzquierdoIPA08OpenAlexW2092816069WikidataQ47613878 ScholiaQ47613878MaRDI QIDQ1932066

Miguel Almonacid, José Manuel Cano-Izquierdo, Miguel Pinzolas, Julio Ibarrola

Publication date: 17 January 2013

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

Full work available at URL: https://doi.org/10.1016/j.neunet.2008.03.015

zbMATH Keywords

correlation functionpower spectrumsignal processingneural dynamic theorysigma-pi units

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Biomedical imaging and signal processing (92C55)

Cites Work

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• Using Fourier-neural recurrent networks to fit sequential input/output data
• On the Complexity of Computing and Learning with Multiplicative Neural Networks
• Information Processing in Dendritic Trees

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