Inverted Encoding

Python package for easy implementation of inverted encoding modeling as described in Scotti, Chen, & Golomb (in-prep).

Contact: scottibrain@gmail.com (Paul Scotti)

Installation

Run the following to install:

pip install inverted_encoding

Usage

import inverted_encoding

predictions, confidences, recons = inverted_encoding.IEM(trialbyvoxel,features,stim_max=180,is_circular=True)

null_mae_distribution = inverted_encoding.permutation(features,stim_max=180,num_perm=1000)

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  • Released:
Newer release available (0.2.3)

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for PaulScotti from gravatar.com PaulScotti

Credits

Author: Paul S. Scotti

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0.0.1

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