A python package for neural decoding with built-in best practices.
Project description
Decodanda (dog latin for “to be decoded”) is a best-practices-made-easy Python package for decoding neural data. Decodanda is designed to expose a user-friendly and flexible interface for population activity decoding, with a series of built-in best practices to avoid the most common pitfalls. In addition, Decodanda exposes a series of functions to compute the Cross-Condition Generalization Performance (CCGP, Bernardi et al. 2020) for the geometrical analysis of neural population activity.
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
decodanda-0.5.0.tar.gz
(52.8 kB
view hashes)
Built Distribution
decodanda-0.5.0-py3-none-any.whl
(48.7 kB
view hashes)
Close
Hashes for decodanda-0.5.0-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | c4bcd8f6b4c5c12820b2f36279d94e8550c16ec5d4ca2460e8eb9725b1552bc7 |
|
MD5 | 2b787801b9ca43cfb9f501d62be9cf1c |
|
BLAKE2b-256 | e08e0af02425b6b34cb096740c03a81c1407e561f8657a58929c726c513d2cae |