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Wavelet filtering before spike detection preserves waveform shape and enhances single-unit discrimination.


ABSTRACT: The isolation of single units in extracellular recordings involves filtering. Removing lower frequencies allows a constant threshold to be applied in order to identify and extract action potential events. However, standard methods such as Butterworth bandpass filtering perform this frequency excision at a cost of grossly distorting waveform shapes. Here, we apply wavelet decomposition and reconstruction as a filter for electrophysiology data and demonstrate its ability to better preserve spike shape. For the majority of cells, this approach also improves spike signal-to-noise ratio (SNR) and increases cluster discrimination. Additionally, the described technique is fast enough to be applied real-time.

SUBMITTER: Wiltschko AB 

PROVIDER: S-EPMC2602872 | biostudies-literature | 2008 Aug

REPOSITORIES: biostudies-literature

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Wavelet filtering before spike detection preserves waveform shape and enhances single-unit discrimination.

Wiltschko Alexander B AB   Gage Gregory J GJ   Berke Joshua D JD  

Journal of neuroscience methods 20080528 1


The isolation of single units in extracellular recordings involves filtering. Removing lower frequencies allows a constant threshold to be applied in order to identify and extract action potential events. However, standard methods such as Butterworth bandpass filtering perform this frequency excision at a cost of grossly distorting waveform shapes. Here, we apply wavelet decomposition and reconstruction as a filter for electrophysiology data and demonstrate its ability to better preserve spike s  ...[more]

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