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        "author": "Pavan Ramkumar and Hugo Fernandes",
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        "description": "# spykes\n\n[![License](https://img.shields.io/badge/license-MIT-blue.svg?style=flat)](https://github.com/KordingLab/spykes/blob/master/LICENSE) [![Join the chat at https://gitter.im/KordingLab/spykes](https://badges.gitter.im/KordingLab/spykes.svg)](https://gitter.im/KordingLab/spykes?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)\n[![Travis](https://api.travis-ci.org/pavanramkumar/pyglmnet.svg?branch=master \"Travis\")](https://travis-ci.org/KordingLab/spykes)\n[![Circle](https://circleci.com/gh/KordingLab/spykes/tree/master.svg?style=shield&circle-token=:circle-token)](https://circleci.com/gh/KordingLab/spykes/tree/master.svg?style=shield&circle-token=:circle-token)\n[![Coverage Status](https://coveralls.io/repos/github/KordingLab/spykes/badge.svg?branch=master)](https://coveralls.io/github/KordingLab/spykes?branch=master)\n\n![Spykes!](images/spykes-logo.png)\n\nAlmost any electrophysiology study of neural spiking data relies on a battery of standard analyses. Raster plots and peri-stimulus time histograms aligned to stimuli and behavior provide a snapshot visual description of neural activity. Similarly, tuning curves are the most standard way to characterize how neurons encode stimuli or behavioral preferences. With increasing popularity of population recordings, maximum-likelihood decoders based on tuning models are becoming part of this standard.\n\nYet, virtually every lab relies on a set of in-house analysis scripts to go from raw data to summaries. We want to improve this status quo in order to enable easier sharing, better reproducibility and fewer bugs.\n\nSpykes is a collection of Python tools to make the visualization and analysis of neural data easy and reproducible.\n\nFor more, see the [documentation](http://kordinglab.com/spykes/getting-started.html).\n\n### Installation\n\nSpykes can be installed using\n\n```\npip install spykes\n```\n\nFor more detailed installation options, see the [documentation](http://kordinglab.com/spykes/getting-started.html#installing).\n\n### Authors\n\n- [Pavan Ramkumar](http:/github.com/pavanramkumar)\n- [Hugo Fernandes](http:/github.com/hugoguh)\n\n### Acknowledgments\n\n* [Konrad Kording](http://kordinglab.com) for funding and support\n",
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