spykesim 1.2.0
Python module that offers functions for measuring the similarity between two segmented multi-neuronal spiking activities.
License: MIT License

Copyright (c) 2019 Keita Watanabe

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Description: # <img src="docs/spykesim_logo/wtext/spykesim_wtext.svg" width="320px">
        [![PyPI](https://img.shields.io/pypi/v/spykesim.svg)](https://pypi.org/project/spykesim/)
        [![MIT License](http://img.shields.io/badge/license-MIT-blue.svg?style=flat)](LICENSE)
        [![Build Status](https://travis-ci.org/KeitaW/spykesim.svg?branch=master)](https://travis-ci.org/KeitaW/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 details in the following paper.
        
        https://www.frontiersin.org/articles/10.3389/fninf.2019.00039
        
        This library is re-implementation of the algorithm. The original implementation can be found in [this repo](https://github.com/KeitaW/Chaldea).
        
        # Supported Operating Systems
        This library tested on Ubuntu and MacOS.
        
        For Windows users: Please consider to use Ubuntu via [Windows Subsystem for Linux](https://docs.microsoft.com/en-us/windows/wsl/install-win10).
        
        # Installation
        If you do not have Python3.7 on your environment, you may use [Anaconda](https://www.anaconda.com/distribution/).
        
        [Cython](https://github.com/cython/cython) and [Numpy](https://github.com/numpy/numpy) needs to be preinstalled as these will be used in the installation process.
        
        If you have not installed these packages, run the following:
        ```bash
        pip install numpy cython
        ```
        You can install this library via pip as well:
        ```bash
        pip install spykesim
        ```
        or you may clone and build by yourself:
        ```bash
        git clone https://github.com/KeitaW/spykesim.git
        cd spykesim
        python setup.py build_ext --inplace install
        ```
        
        ## Dependencies
        
        - Python (>= 3.7)
        - Numpy(Needs to be preinstalled)
        - Cython(Needs to be preinstalled)
        - scipy
        - tqdm
        - h5py
        
        # 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:2019eq,
        author = {Watanabe, Keita and Haga, Tatsuya and Tatsuno, Masami and Euston, David R and Fukai, Tomoki},
        title = {{Unsupervised Detection of Cell-Assembly Sequences by Similarity-Based Clustering}},
        journal = {Frontiers in Neuroinformatics},
        year = {2019},
        volume = {13},
        month = may
        }
        ```
        # 
        
        
        This project uses the following repository as a template.
        
        https://github.com/kennethreitz/samplemod 
        The original LICENSE file can be found in [here](misc/original_license.md).
        
Platform: UNKNOWN