Extended Data Fig. 6: Statistical characterization of visual encodings in GABA response groups.
(a-c) Schematics for characterization of visual encodings. The six visual features were used to represent visual encodings in each group (a). We computed measures for the visual features for each ROI and summarized those as barcodes. Then we decomposed the barcodes of 49 groups by principal component analysis (PCA) and obtained feature weights and Hotelling’s T2 score for each group (c). (d) A response matrix consists of responsibility for the six features. 4149 ROIs, 6 retinae. (e) Bars, explained variance ratio for the obtained PC dimensions. Circles, cumulative explained variance. (f) PC scores in each PC dimension. Circles, 49 groups. Colored circles, groups identified as significantly informative based on dataset shuffling. PC dimensions with the highest PC scores are marked.
