End-to-end deep learning approach to mouse behavior classification from cortex-wide calcium imaging
Fig 3
Visualization of essential features in CNN-RNN decoder.
(A) An importance score was calculated by averaging differences from classification accuracy using a 1/16 masking area in each image (see Methods for details). (B) Importance scores in each subdivision (mean ± SD, n = 20 models). (C) Overlay of importance scores on the cortical image with ROI positions. See S2 Fig for ROIs 1–50.