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        "author": "Keita Watanabe",
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        "description": "# <img src=\"docs/spykesim_logo/wtext/spykesim_wtext.svg\" width=\"320px\">\n[![PyPI](https://img.shields.io/pypi/v/spykesim.svg)](https://pypi.org/project/spykesim/)\n[![MIT License](http://img.shields.io/badge/license-MIT-blue.svg?style=flat)](LICENSE)\n[![Build Status](https://travis-ci.org/KeitaW/spykesim.svg?branch=master)](https://travis-ci.org/KeitaW/spykesim)\n\nspykesim is a Python module that offers functions for measuring the similarity between two segmented multi-neuronal spiking activities.\n\nExtended edit similarity measurement is implemented. You can find details in the following paper.\n\nhttps://www.frontiersin.org/articles/10.3389/fninf.2019.00039\n\nThis library is re-implementation of the algorithm. The original implementation can be found in [this repo](https://github.com/KeitaW/Chaldea).\n\n# Supported Operating Systems\nThis library tested on Ubuntu and MacOS.\n\nFor Windows users: Please consider to use Ubuntu via [Windows Subsystem for Linux](https://docs.microsoft.com/en-us/windows/wsl/install-win10).\n\n# Installation\nIf you do not have Python3.7 on your environment, you may use [Anaconda](https://www.anaconda.com/distribution/).\n\n[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.\n\nIf you have not installed these packages, run the following:\n```bash\npip install numpy cython\n```\nYou can install this library via pip as well:\n```bash\npip install spykesim\n```\nor you may clone and build by yourself:\n```bash\ngit clone https://github.com/KeitaW/spykesim.git\ncd spykesim\npython setup.py build_ext --inplace install\n```\n\n## Dependencies\n\n- Python (>= 3.7)\n- Numpy(Needs to be preinstalled)\n- Cython(Needs to be preinstalled)\n- scipy\n- tqdm\n- h5py\n\n# Tutorial \nYou can find a tutorial in [doc](https://github.com/KeitaW/spykesim/blob/master/docs/tutorial.ipynb).\n\n# Citation\nYou can use the following bib entry to cite this work:\n```\n@article{Watanabe:2019eq,\nauthor = {Watanabe, Keita and Haga, Tatsuya and Tatsuno, Masami and Euston, David R and Fukai, Tomoki},\ntitle = {{Unsupervised Detection of Cell-Assembly Sequences by Similarity-Based Clustering}},\njournal = {Frontiers in Neuroinformatics},\nyear = {2019},\nvolume = {13},\nmonth = may\n}\n```\n# \n\n\nThis project uses the following repository as a template.\n\nhttps://github.com/kennethreitz/samplemod \nThe original LICENSE file can be found in [here](misc/original_license.md).\n",
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        "license": "MIT License\n\nCopyright (c) 2019 Keita Watanabe\n\nPermission is hereby granted, free of charge, to any person obtaining a copy\nof this software and associated documentation files (the \"Software\"), to deal\nin the Software without restriction, including without limitation the rights\nto use, copy, modify, merge, publish, distribute, sublicense, and/or sell\ncopies of the Software, and to permit persons to whom the Software is\nfurnished to do so, subject to the following conditions:\n\nThe above copyright notice and this permission notice shall be included in all\ncopies or substantial portions of the Software.\n\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\nIMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\nFITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\nAUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\nLIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\nOUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE\nSOFTWARE.\n\n",
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