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Computational Neuronal Oscillations using Morlet Wavelet Transform.

Computational Neuronal Oscillations using Morlet Wavelet Transform. Research Abstract Details 

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  • Computational Neuronal Oscillations using Morlet Wavelet Transform. Abstract Text:

    xiaoli liXiaoli Li,xin yaoXin Yao,j g jefferysJ G Jefferys,john foxJohn Fox,

    This paper introduces the use of a new tool based on Morlet wavelet transform to detection the interaction dynamics between two neuronal population oscillations. This toolbox can describe the power spectrum, cross wavelet transform, coherence, bi-coherence, cross phase angle and phase synchronization of two neuronal oscillations. Through a case study of focus epilepsy model, a linear and nonlinear correlation between the neuronal oscillations in the CA1 and CA3 of rat hippocampus are computed. The results show that the tool can be directly applied to analyze and quantify the instantaneous interaction of two neuronal oscillations, which could be a helpful tool to analyze and understand the mechanism of epileptic seizure in EEG recordings.

    Computational Neuronal Oscillations using Morlet Wavelet Transform. Publishing Authors By Initials

    x liX Li,x yaoX Yao,j g jefferysJ G Jefferys,j foxJ Fox,

    For similar abstracts research abstracts see: abstracts research

    PUBMED ID PMID:

    MEDLINE DATE:

    Computational Neuronal Oscillations using Morlet Wavelet Transform. Journal Published:

    PUBLICATION TYPE: Journal Article

    Journal: Conference proceedings : ... Annual International

    VOLUME: 2

    Page Numbers: 2009-12

    Journal Abbreviation:

    ISSN: 1557-170X

    DAY: 6

    MONTH: 02

    YEAR: 2005

    Computational Neuronal Oscillations using Morlet Wavelet Transform. Information

    Number of References:

    LANGUAGE: eng

    NlmUniqueID: 101243413

    Computational Neuronal Oscillations using Morlet Wavelet Transform. Keywords Mesh Terms:

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    Grant and Affiliation Information for Computational Neuronal Oscillations using Morlet Wavelet Transform.

    AFFILIATION: CERCIA, School of Computer Science, The University of Birmingham, B15 2TT, UK. (e-mail: xiaoli.avh@gmail.com).

    Country: United States

    United States Research PublicationUnited States Research Publication

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    MEDLINETA: Conf Proc IEEE Eng Med Biol So

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