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med: estimated 3D position of cells in tissue.stat.redprob: (for some recordings) contains the classifier’s probability that a cell has tdtomato (from 0 to 1).stat.redcell: (for some recordings) indicated whether the cell had tdtomato and was therefore an interneuron (GAD+).stat: single cell statistics of cell detection algorithm (Suite2p).db: database file of information about recording.stype: for each k in stype, dbstims(k) is recorded with stimulus condition stimsetĮach file is a different session with images given by "stimset" with mouse_name "mname" and date "date".stimset: names of each of the different recording types.dbstims: database with information about recording sessions in order specified above (mouse_name and date are used to identify each recording).In summary there are 32 total recordings: 7 natimg2800, 4 natimg2800_white, 6 natimg2800_8D, 4 natimg2800_4D, 3 natimg2800_small, 4 ori, 4 natimg32
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natimg32: 32 different full-field natural imagesĭbstims.mat: Database of recording information.ori32: 32 different directions of drifting gratings.natimg2800_small: same 2800 natural images, but the image is only non-zero at the receptive field location of the cellsĮach of the following stimulus sets was presented 96 times in a recording:.natimg2800_4D: same 2800 natural images, but projected onto the top 4 dimensions of reverse correlation between the stimuli and the responses (see the paper for more details).natimg2800_8D: same 2800 natural images, but projected onto the top 8 dimensions of reverse correlation between the stimuli and the responses (see the paper for more details).natimg2800_white: same 2800 natural images were whitened with a degree of 1.natimg2800: 2800 different natural images.Each of the following stimulus sets was presented at least twice in a recording: Stimulus conditionsĮach visual stimulus is presented across 3 screens surrounding the mice. If you use the data please cite the original paper and the figshare DOI. The calls to the figure functions live in 'make_figs.m'. The script 'process_data.m' is the main processing script. The datasets to produce all the main figures are available. Recordings of ten thousand neurons in visual cortex in response to 2,800 natural images.
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It relies on data deposited on figshare at:Ĭarsen Stringer, Marius Pachitariu, Nicholas Steinmetz, Matteo Carandini, Kenneth D. High-dimensional geometry of population responses in visual cortex.
#Corelation dimension matlab 2018b code#
This code produces the figures from Stringer, Pachitariu et al, 2018b:Ĭarsen Stringer, Marius Pachitariu, Nicholas Steinmetz, Matteo Carandini, Kenneth D. Code to analyze recordings of 10,000 neurons in response to 2,800 natural images presented twice