nimare.decode.discrete

Methods for decoding subsets of voxels (e.g., ROIs) or experiments (e.g., from meta-analytic clustering on a database) into text.

Classes

BrainMapDecoder([feature_group, features, …])	Perform image-to-text decoding for discrete image inputs (e.g., regions of interest, significant clusters) according to the BrainMap method.
NeurosynthDecoder([feature_group, features, …])	Perform discrete functional decoding according to Neurosynth’s meta-analytic method.

Functions

brainmap_decode(coordinates, annotations, ids)	Perform image-to-text decoding for discrete image inputs (e.g., regions of interest, significant clusters) according to the BrainMap method.
gclda_decode_roi(model, roi[, topic_priors, …])	Perform image-to-text decoding for discrete image inputs (e.g., regions of interest, significant clusters) according to the method described in Rubin et al.
neurosynth_decode(coordinates, annotations, ids)	Perform discrete functional decoding according to Neurosynth’s meta-analytic method.