Metadata-Version: 2.2
Name: psytrack
Version: 2.0.2
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
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
License-File: LICENSE
Requires-Dist: matplotlib
Requires-Dist: markdown
Requires-Dist: numpy
Requires-Dist: scipy
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Dynamic: author-email
Dynamic: classifier
Dynamic: description
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# PsyTrack

PsyTrack is a package for fitting a dynamic psychophysical model to behavioral data as described in our 2021 _Neuron_ paper, '[Extracting the dynamics of behavior in sensory decision-making experiments](https://authors.elsevier.com/a/1cMvC3BtfGx4U4).'

<img align='center' src='./psytrack/examples/GraphicalAbstract.png' alt='Graphical abstract from Neuron paper' height='600'/>

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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`


## Code authors

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


Please cite as:

Roy NA, Bak JH, Akrami A, The IBL, Brody CD, & Pillow JW, ["Extracting the dynamics of behavior in sensory decision-making experiments."](https://doi.org/10.1016/j.neuron.2020.12.004) _Neuron_ (2021).


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