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Implementation of inverted encoding model as described in Scotti, Chen, & Golomb

Project description

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

from inverted_encoding import IEM, permutation

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

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

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