spykesim 0.1.0

Python module that offers functions for measuring the similarity between two segmented multi-neuronal spiking activities.

# Spykesim 

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