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Time-Frequency Analysis

Encyclopedia of Computational Neuroscience

Synonyms

Spectro-temporal analysis

Definition

The term time-frequency analysis summarizes analysis techniques that quantify the temporal evolution of spectral properties of signals. These techniques provide powerful means to study the dynamics of rhythmic phenomena, which are of great relevance in neuroscience research.

Detailed Description

Background

The brain exhibits a wealth of rhythmic processes at various spatial and temporal scales, populating a large frequency range from sub Hz to several hundred Hz (Buzsáki and Draguhn 2004). These different rhythmic processes reflect the biophysical properties of different local and large-scale network interactions (Buzsáki 2006; Donner and Siegel 2011; Wang 2010). Thus, spectral decomposition is a powerful technique in the analysis of neurophysiological data that separates different neuronal processes.

Rhythmic neuronal activity changes over time, e.g., in amplitude and spatial extent. A well-known example of dynamic rhythmic brain activity...

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References

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Further Reading

  • Boashash B (2003) Time frequency analysis. Elsevier Science, Burlington

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  • Cohen L (1994) Time frequency analysis: theory and applications. Prentice Hall, Upper Saddle River

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  • van Drongelen W (2006) Signal processing for neuroscientists: an introduction to the analysis of physiological signals. Academic, Boston

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Author information

Authors and Affiliations

  1. Centre for Integrative Neuroscience, University of Tübingen, Otfried-Müller-Straße 25, 72076, Tübingen, Germany

    Dr. Joerg F Hipp

  2. MEG-Center, University of Tübingen, Tübingen, Germany

    Dr. Joerg F Hipp

Authors
  1. Dr. Joerg F Hipp
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Corresponding author

Correspondence to Joerg F Hipp .

Editor information

Editors and Affiliations

  1. Atlanta, Georgia, USA

    Dieter Jaeger

  2. Department of Biomedical Engineering, Florida International University, Miami, Florida, USA

    Ranu Jung

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© 2014 Springer Science+Business Media New York

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Hipp, J.F. (2014). Time-Frequency Analysis. In: Jaeger, D., Jung, R. (eds) Encyclopedia of Computational Neuroscience. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-7320-6_421-1

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  • DOI: https://doi.org/10.1007/978-1-4614-7320-6_421-1

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  • Publisher Name: Springer, New York, NY

  • Online ISBN: 978-1-4614-7320-6

  • eBook Packages: Springer Reference Biomedicine and Life SciencesReference Module Biomedical and Life Sciences

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Chapter history

  1. Latest

    Time-Frequency Analysis of Analog Neural Signals
    Published:
    03 October 2018

    DOI: https://doi.org/10.1007/978-1-4614-7320-6_421-2

  2. Original

    Time-Frequency Analysis
    Published:
    23 March 2014

    DOI: https://doi.org/10.1007/978-1-4614-7320-6_421-1

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