Description: Logistic Regression regression parameters (not Z scored) for each of 399 Cognitive Atlas concepts, trained via custom neurosynth extraction of the terms across 11,405 pubmed papers. The Logistic Regression uses a binary matrix of 11405 rows (pubmed papers) x 399 (cognitive atlas terms found in at least 10 papers) columns as Y, and binary feature maps (11405 rows x 28549 columns) as X. These maps are the regression parameter matrix (28K by 399 columns) transformed back into images (4mm resolution).
If you use the data from this collection please include the following persistent identifier in the text of your manuscript:
This will help to track the use of this data in the literature.