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The Cognitive Architecture Within the Natural-Constructive Approach Read chapter Read first chapter

2016 | OriginalPaper | Chapter

To the Question of Learnability of a Spiking Neuron with Spike-Timing-Dependent Plasticity in Case of Complex Input Signals

Authors : Alexander Sboev, Danila Vlasov, Alexey Serenko, Roman Rybka, Ivan Moloshnikov

Published in: Biologically Inspired Cognitive Architectures (BICA) for Young Scientists

Publisher: Springer International Publishing

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Abstract

Results of investigations of learnability of a spiking neuron in case of complex input signals which encode binary vectors are presented. The disadvantages of the supervised learning protocol with stimulating the neuron by current impulses in desired moments of time are analyzed.

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previous chapter Some Aspects of Intellectual Tutoring Based on the Integrated Tutoring Expert Systems Usage
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Literature
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Gütig, R., Sompolinsky, H.: The tempotron: a neuron that learns spike timing-based decisions. Nat. Neurosci. 9(3), 420–428 (2006)CrossRef
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Legenstein, R., Naeger, C., Maass, W.: What can a neuron learn with spike-timing-dependent plasticity. Neural Comput. 17, 2337–2382 (2005)MathSciNetCrossRefMATH
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Maass, W., Markram, H.: Synapses as dynamic memory buffers. Neural Netw. 15, 155–161 (2002)CrossRef
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Sboev, A., Vlasov, D., Serenko, A., Rybka, R., Moloshnikov, I.: A comparison of learning abilities of spiking networks with different spike timing-dependent plasticity forms. J. Phys: Conf. Ser. 681(1), 012013 (2016)
Metadata
Title
To the Question of Learnability of a Spiking Neuron with Spike-Timing-Dependent Plasticity in Case of Complex Input Signals
Authors
Alexander Sboev
Danila Vlasov
Alexey Serenko
Roman Rybka
Ivan Moloshnikov
Copyright Year
2016
Book
Biologically Inspired Cognitive Architectures (BICA) for Young Scientists

Print ISBN: 978-3-319-32553-8

Electronic ISBN: 978-3-319-32554-5

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-319-32554-5_26

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