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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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Files for quickspikes, version 1.3.5
Filename, size File type Python version Upload date Hashes
Filename, size quickspikes-1.3.5-cp27-cp27m-manylinux1_x86_64.whl (304.5 kB) File type Wheel Python version cp27 Upload date Hashes View hashes
Filename, size quickspikes-1.3.5-cp27-cp27mu-manylinux1_x86_64.whl (304.5 kB) File type Wheel Python version cp27 Upload date Hashes View hashes
Filename, size quickspikes-1.3.5-cp34-cp34m-manylinux1_x86_64.whl (324.9 kB) File type Wheel Python version cp34 Upload date Hashes View hashes
Filename, size quickspikes-1.3.5-cp35-cp35m-manylinux1_x86_64.whl (326.3 kB) File type Wheel Python version cp35 Upload date Hashes View hashes
Filename, size quickspikes-1.3.5-cp36-cp36m-macosx_10_13_x86_64.whl (86.9 kB) File type Wheel Python version cp36 Upload date Hashes View hashes
Filename, size quickspikes-1.3.5-cp36-cp36m-manylinux1_x86_64.whl (329.6 kB) File type Wheel Python version cp36 Upload date Hashes View hashes
Filename, size quickspikes-1.3.5-cp37-cp37m-manylinux1_x86_64.whl (328.5 kB) File type Wheel Python version cp37 Upload date Hashes View hashes

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