Data from the paper "Denoised vibrometry reveals non-canonical filtering at the apex of the cochlea" by Burwood et al
Résumé fourni par la source
These files are Matlab figure files for figures 1 - 5 of the above paper. To view the figure, issue the command "hfig = openfig('Figure1.fig')" at the Matlab prompt. This will open the figure and generate a handle to its contents.Matlab includes tools that will allow the data underlying each plot to be read. Start by hovering with the mouse over a plot of interest. This will activate a toolstrip at the top of the axis. Among the tools is the data reader, which allows the X and Y data values to be displayed after clicking on a data point.Alternatively, the following commands can be issued at the Matlab command prompt after loading the file as described above:d = findall(hfig, '-property', 'xdata');xydatas = arrayfun(@(h) get(h, {'xdata','ydata', 'type'}), d, 'Uniform', 0);The first line will find all objects that have an XData property. The second line will put the underlying data into a cell array.To retrieve image data, the property to search for is called "CData" (instead of "XData"). More details can be found at https://se.mathworks.com/matlabcentral/answers/1980134-extract-values-from-a-fig-file and at https://se.mathworks.com/matlabcentral/answers/2951-extracting-data-series-from-fig-file
Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.