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Analysis of Single Neuron 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 several practical problems where wavelets provide information about the dynamics of neuronal systems that cannot be obtained with ordinary frequency or time domain methods. We discuss the possibility of studying intracellular dynamics and information encoding by individual neurons. We characterize the dynamical stability of the neuronal response and propose an approach to quantify wavelet coherence.

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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). Analysis of Single Neuron Recordings. In: Wavelets in Neuroscience. Springer Series in Synergetics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-43850-3_3

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  • DOI: https://doi.org/10.1007/978-3-662-43850-3_3

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