v1.0.0

DRIADA 1.0.0 — First stable release!

A Python framework for analyzing neural population activity at both single-neuron and population levels. DRIADA identifies which neurons encode which variables, extracts low-dimensional population structure, and links the two.

Core modules

• INTENSE — neuron-feature selectivity via mutual information with two-stage statistical testing, delay optimization, and mixed selectivity disentanglement
• Dimensionality reduction — PCA, Isomap, UMAP, diffusion maps, autoencoders with manifold quality metrics and dimensionality estimation
• Network analysis — spectral decomposition and analysis tools for networks and proximity graphs
• Integration — map single-cell selectivity onto population manifolds and embedding components
• RSA — representational dissimilarity matrices for cross-region and cross-session comparisons

Full documentation at https://driada.readthedocs.io
Full changelog: https://github.com/iabs-neuro/driada/blob/v1.0.0/CHANGELOG.md