decodanda 0.8.2

Geometric decoding of neural data with built-in best practices.

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) and Cross-Variable Interference (O’Neill et al 2025) for the geometrical analysis of neural population activity.