Fig. 1

Fig. 1

Visualization of neuronal activity landscape at cellular resolution in the larval zebrafish forebrain. A Overview of the classification of individual ROIs (neurons) based on their level of activity. The variance of df/f of each ROI was used as a measure of its activity. The k-means algorithm was used to classify each ROI into 3 levels. B Sorted ROIs (left) vs. clustered ROIs (right) based on their activity level for an example subject. C Pie chart showing the percentage of ROIs in three activity level categories for an example subject. Less than 2% of ROIs are highly active (level I) but more than 80% are largely inactive. D Dorsal and lateral views of the three activity categories of ROIs’ distributions in the example subject’s forebrain. E Raster plot of ROIs with different levels of activity in an example subject: (left) activity level 1 and (right) activity level 3. F Percent of total recorded neurons in each activity level category across 9 subjects. G Overlay view of highly active neurons (level 1) in all 9 subjects shows that they are located in the lateral part of the forebrain. H Anatomical distribution of activity level 1 neurons sorted based on the percentage of total recorded neurons in each anatomical mask. The number of replicates used is 9