decodanda

Name	decodanda JSON
Version	0.6.12 JSON
	download
home_page	https://github.com/lposani/decodanda
Summary	Geometric decoding of neural data with built-in best practices.
upload_time	2024-03-29 19:25:15
maintainer	None
docs_url	None
author	Lorenzo Posani
requires_python	None
license	None
keywords	python decoding neuroscience ccgp neural activity population activity neural decoding geometry
VCS
bugtrack_url
requirements	No requirements were recorded.
Travis-CI	No Travis.
coveralls test coverage	No coveralls.

            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.

            

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