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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: (Paul Scotti)


Run the following to install:

pip install inverted_encoding


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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