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
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)
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
inverted_encoding-0.0.15.tar.gz
(47.3 kB
view hashes)
Built Distribution
Close
Hashes for inverted_encoding-0.0.15-py2-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 1418b476a58f5ab03a3f3ed69edf0514eb19f4c51523720687e84a129d6ee51f |
|
MD5 | 1c5c71b41d67cd889b7e2f86bc7b2e2f |
|
BLAKE2b-256 | 7bf382467d7f346c97a48dedc90abe65c80fd4f46b50285adaefb8168f050249 |