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Basic tools for neural data analysis and visualization.

Project description

# spykes

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![Spykes!](images/spykes-logo.png)

Almost 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.

Yet, 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.

Spykes is a collection of Python tools to make the visualization and analysis of neural data easy and reproducible.

For more, see the [documentation](http://kordinglab.com/spykes/getting-started.html).

### Installation

Spykes can be installed using

` pip install spykes `

For more detailed installation options, see the [documentation](http://kordinglab.com/spykes/getting-started.html#installing).

### Authors

### Acknowledgments

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