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        "description": "# PsyTrack\n\nPsyTrack 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).\"\n\n<img src=\"./psytrack/examples/weights.png\" alt=\"Figure 1b from paper\" height=\"300\"/>\n\n[//]: # ()\n\n## Documentation\n\nDocumentation and examples can be found in [`ExampleNotebook.ipynb`](./psytrack/examples/ExampleNotebook.ipynb)\n\n[//]: # ()\n\n\n## How to install\n\nJust run `pip install psytrack`\n\n\n## Authors\n\nNick Roy, [Ji Hyun Bak](http://newton.kias.re.kr/~jhbak/), and [Jonathan Pillow](http://pillowlab.princeton.edu/)\n\n\nPlease cite as:\n\nRoy, Nicholas A., et al. \"Efficient inference for time-varying behavior during learning.\" _Advances in Neural Information Processing Systems_. 2018.\n\n[//]: # (readme template from https://github.com/HIPS/autograd)\n\n\n",
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