Functional Data

• Cn is a cell of length Numb_patches. Each element of the cell is a d1 x d2 matrix of the correlation image of a different patch in the experiment, where d1 and d2 are the dimensions of the patch. The correlation image is calculated as the correlation of each pixel with its neighbours.

• Ain_axons is a cell of length Numb_patches. Each element of the cell is a (d1 * d2) x M matrix corresponding to the spatial filters (masks) of each putative axon after grouping, where M is the number of identified axons in that patch. To visualize, use reshape to convert a column of the matrix Ain_axons{patch_no} into a d1 x d2 matrix corresponding to the patch dimensions, e.g., imagesc(reshape(Ain_axons{patch_number}(:,axon_number),d1,d2)).

• dFF_axons is a cell of length Numb_patches. Each element of the cell is an M x T matrix corresponding to the dFF of each putative axon after grouping, where T is the number of timepoints in the experiment. The mth row of dFF_axons{patch_no} and the mth column of Ain_axons{patch_no} corresponds to the same putative axon.

• time_axons is a cell corresponding to the times for each axon, same structure as dFF_axons.

• dFF_rois, Ain_rois, and time_rois as above, but for individual granule cell varicosities before grouping.

• ix_axons_to_rois is a cell of length Numb_patches. Each element of the cell is another cell of length M corresponding the the ROI id numbers for each varicosity associated with that putative axon. The mth element of this cell is a vector containing the ROI id numbers of all varicosities associated with the putative axon corresponding to axon id number m.

• axon_ids is a vector whose length is the number of varicosities, which performs the inverse mapping (from ROI id number to axon id number). The ith element of this vector is the axon id number for the varicosity corresponding to ROI id number i.