Tool for tracking dynamic psychometric curves
Project 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.'
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).
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file psytrack-1.2.0.tar.gz.
File metadata
- Download URL: psytrack-1.2.0.tar.gz
- Upload date:
- Size: 951.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/44.0.0.post20200106 requests-toolbelt/0.9.1 tqdm/4.41.1 CPython/3.7.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
f01e756fe1b38647b34c3849547cca6f3b1005f5a32a9fc7fe0bf86af5eca579
|
|
| MD5 |
5b15e0d5e562cff1824e3df4ad4883f6
|
|
| BLAKE2b-256 |
4188907ff5a3e028c34af8eb52ddcf40de4cc0b3ec90ddf4726cab4601b8600e
|
File details
Details for the file psytrack-1.2.0-py3-none-any.whl.
File metadata
- Download URL: psytrack-1.2.0-py3-none-any.whl
- Upload date:
- Size: 955.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/44.0.0.post20200106 requests-toolbelt/0.9.1 tqdm/4.41.1 CPython/3.7.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
26d1de75d19a7c28e72edc4c6116b6110f12cbb578c560b1f4b62cdf963df8e0
|
|
| MD5 |
38cf073462d377ec771c3372a7d1061a
|
|
| BLAKE2b-256 |
84a2a1d30e505f384f74596bdbbd023413cc7a0e5b2d0b186d96cb2610e2d76d
|