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Classification of Neuronal Spikes from Extracellular Recordings

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Wavelets in Neuroscience

Part of the book series: Springer Series in Synergetics ((SSSYN))

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Abstract

In this chapter, we consider the problem of spike separation from extracellularly recorded action potentials, which is important when studying the dynamics of small groups of neurons. We discuss general principles of spike sorting and propose several wavelet-based techniques to improve the quality of spike separation, including an approach for optimal sorting with wavelets and filtering techniques. Finally, we consider the application of artificial neural networks to solve this problem.

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Authors and Affiliations

  1. Research and Education Center ‘Nonlinear Dynamics of Complex Systems’, Saratov State Technical University, Saratov, Russia

    Alexander E. Hramov, Alexey A. Koronovskii & Alexey N. Pavlov

  2. Department of Nonlinear Processes, Saratov State University, Saratov, Russia

    Alexander E. Hramov & Alexey A. Koronovskii

  3. Department of Applied Mathematics, Complutense University, Madrid, Spain

    Valeri A. Makarov

  4. Physics Department, Saratov State University, Saratov, Russia

    Alexey N. Pavlov

  5. Institute for Higher Nervous Activity and Neurophysiology, Russian Academy of Sciences, Moscow, Russia

    Evgenia Sitnikova

Authors
  1. Alexander E. Hramov
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  2. Alexey A. Koronovskii
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  3. Valeri A. Makarov
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  4. Alexey N. Pavlov
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  5. Evgenia Sitnikova
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Hramov, A.E., Koronovskii, A.A., Makarov, V.A., Pavlov, A.N., Sitnikova, E. (2015). Classification of Neuronal Spikes from Extracellular Recordings. In: Wavelets in Neuroscience. Springer Series in Synergetics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-43850-3_4

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  • DOI: https://doi.org/10.1007/978-3-662-43850-3_4

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-43849-7

  • Online ISBN: 978-3-662-43850-3

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