Python module that offers functions for measuring the similarity between two segmented multi-neuronal spiking activities.
Project description
# Spykesim ![PyPI](https://img.shields.io/pypi/v/spykesim.svg)
spykesim is a Python module that offers functions for measuring the similarity between two segmented multi-neuronal spiking activities. Extended edit similarity measurement is implemented. You can find the details in the following paper. bioArxiv: https://www.biorxiv.org/content/early/2017/10/30/202655 # Supported Operating Systems Ubuntu and MacOS. For Windows users: Please consider to use Ubuntu via Windows Subsystem for Linux.
# Installation You can install via pip. `python pip install spykesim `
## Dependencies
Python (>= 3.5)
Cython
Numpy
tqdm
# Tutorial You can find a tutorial in [doc](https://github.com/KeitaW/spykesim/blob/master/docs/tutorial.ipynb).
# Citation You can use the following bib entry to cite this work: ` @article{Watanabe:2017bla, author = {Watanabe, Keita and Haga, Tatsuya and Euston, David R and Tatsuno, Masami and Fukai, Tomoki}, title = {{Unsupervised detection of cell-assembly sequences with edit similarity score}}, year = {2017}, pages = {202655}, month = oct } `
#
This project uses the following repository as a template.
https://github.com/kennethreitz/samplemod Copyright (c) 2017, Kenneth Reitz
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