Bayesian Inference of Neural Assemblies - Zebrafish functional imaging

This figshare project contains the zebrafish functional imaging data used in the PLOS computation publication "Bayesian Inference of neural assemblies". All recordings were of one hour of spontaneous activity from the optic tectum of 7 dpf zebrafish whilst they were in complete darkness. These zebrafish were expressing HuC:GCaMP6s and imaged at 4.8Hz per volume (5 slices in a volume). Here we have 3 files for each fish each with a different suffix denoting the data type: "_centers_cut_ordered.dat" files contain the coordinates of cell bodies for each of the segmented neurons. Columns are coordinates (XYZ) and each row is a neuron. Z coordinates refer to the slice number within the volume (5 slices). "_traces.dat" - raw fluorescence traces for each neuron. This is a Neuron x Time matrix where the rows match the rows in the cell centers file. "_spikes.dat" - Binarised version of "_traces.dat". N x T matrix. These were used as input to the bayesian analysis.