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". <br>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).<br> Here we have 3 files for each fish each with a different suffix denoting the data type: <br>"_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). <br>"_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. <br>"_spikes.dat" - Binarised version of "_traces.dat". N x T matrix. These were used as input to the bayesian analysis.