Metadata-Version: 2.1
Name: psytrack
Version: 1.0.0
Summary: Tool for tracking dynamic psychometric curves
Home-page: http://github.com/nicholas-roy/psytrack
Author: Nicholas A. Roy, Ji Hyun Bak, and Jonathan W. Pillow
Author-email: nicholas.roy.42@gmail.com
License: MIT
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering
Description-Content-Type: text/markdown
Requires-Dist: numpy
Requires-Dist: scipy
Requires-Dist: matplotlib
Requires-Dist: markdown

# PsyTrack

PsyTrack is a package for fitting a dynamic psychophysical model to behavioral data as proposed in our 2018 NeurIPS paper, "[Efficient inference for time-varying behavior during learning](http://pillowlab.princeton.edu/pubs/Roy18_NeurIPS_dynamicPsychophys.pdf)."

<img src="./psytrack/examples/weights.png" alt="Figure 1b from paper" height="300"/>

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## Documentation

Documentation and examples can be found in [`ExampleNotebook.ipynb`](./psytrack/examples/ExampleNotebook.ipynb)

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## How to install

Just run `pip install psytrack`


## Authors

Nick Roy, [Ji Hyun Bak](http://newton.kias.re.kr/~jhbak/), and [Jonathan Pillow](http://pillowlab.princeton.edu/)


Please cite as:

Roy, Nicholas A., et al. "Efficient inference for time-varying behavior during learning." _Advances in Neural Information Processing Systems_. 2018.

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