Metadata-Version: 2.1
Name: psytrack
Version: 2.0.0
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
Description: # 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 NA, Bak JH, Akrami A, Brody CD, & Pillow JW (2018). [Efficient inference for time-varying behavior during learning.](http://pillowlab.princeton.edu/pubs/abs_Roy_NeurIPS18.html) _Advances in Neural Information Processing Systems_ 31, 5696-5706.  (2018).
        
        
        [//]: # (readme template from https://github.com/HIPS/autograd)
        
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
