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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."

Figure 1b from paper

Documentation

Documentation and examples can be found in ExampleNotebook.ipynb

How to install

Just run pip install psytrack

Authors

Nick Roy, Ji Hyun Bak, and Jonathan Pillow

Please cite as:

Roy NA, Bak JH, Akrami A, Brody CD, & Pillow JW (2018). Efficient inference for time-varying behavior during learning. Advances in Neural Information Processing Systems 31, 5696-5706. (2018).

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  • Jupyter Notebook 97.2%
  • Python 2.8%