Geometric decoding of neural data 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.
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