Spatiotemporal signal classification via principal components of reservoir states

Neural Networks : the Official Journal of the International Neural Network Society
Ashley Prater

Abstract

Reservoir computing is a recently introduced machine learning paradigm that has been shown to be well-suited for the processing of spatiotemporal data. Rather than training the network node connections and weights via backpropagation in traditional recurrent neural networks, reservoirs instead have fixed connections and weights among the 'hidden layer' nodes, and traditionally only the weights to the output layer of neurons are trained using linear regression. We claim that for signal classification tasks one may forgo the weight training step entirely and instead use a simple supervised clustering method based upon principal components of reservoir states. The proposed method is mathematically analyzed and explored through numerical experiments on real-world data. The examples demonstrate that the proposed may outperform the traditional trained output weight approach in terms of classification accuracy.

References

May 29, 2004·Neural Computation·Nils Bertschinger, Thomas Natschläger
May 23, 2007·Neural Networks : the Official Journal of the International Neural Network Society·Robert Legenstein, Wolfgang Maass
May 23, 2007·Neural Networks : the Official Journal of the International Neural Network Society·D VerstraetenD Stroobandt
May 23, 2007·Neural Networks : the Official Journal of the International Neural Network Society·Herbert JaegerUdo Siewert
Mar 1, 2012·Scientific Reports·Y PaquotS Massar
Jul 21, 2012·Scientific Reports·Joni DambreSerge Massar
Jan 1, 1991·Journal of Cognitive Neuroscience·M Turk, A Pentland
Jun 18, 2015·Frontiers in Computational Neuroscience·Miguel C SorianoIngo Fischer
Sep 12, 2015·Scientific Reports·Lyudmila GrigoryevaJuan-Pablo Ortega

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Citations

May 30, 2020·Brain Sciences·Dong-Hwa Jeong, Jaeseung Jeong

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