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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