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detect and extract spikes in time series data

Project description

This is a very basic but very fast window discriminator for detecting and extracting spikes in a time series. It was developed for analyzing extracellular neural recordings, but also works with intracellular data and probably many other kinds of time series.

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Filename, size & hash SHA256 hash help File type Python version Upload date
quickspikes-1.3.4-cp27-cp27m-manylinux1_x86_64.whl (256.7 kB) Copy SHA256 hash SHA256 Wheel cp27
quickspikes-1.3.4-cp27-cp27mu-manylinux1_x86_64.whl (256.7 kB) Copy SHA256 hash SHA256 Wheel cp27
quickspikes-1.3.4-cp33-cp33m-manylinux1_x86_64.whl (260.5 kB) Copy SHA256 hash SHA256 Wheel cp33
quickspikes-1.3.4-cp34-cp34m-manylinux1_x86_64.whl (276.1 kB) Copy SHA256 hash SHA256 Wheel cp34
quickspikes-1.3.4-cp35-cp35m-macosx_10_11_x86_64.whl (64.4 kB) Copy SHA256 hash SHA256 Wheel cp35
quickspikes-1.3.4-cp35-cp35m-manylinux1_x86_64.whl (272.5 kB) Copy SHA256 hash SHA256 Wheel cp35
quickspikes-1.3.4-cp36-cp36m-manylinux1_x86_64.whl (275.1 kB) Copy SHA256 hash SHA256 Wheel cp36
quickspikes-1.3.4.tar.gz (657.4 kB) Copy SHA256 hash SHA256 Source None

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