Closed ccluri closed 5 years ago
First picture is going to be removed. This is not the standard reliability map but the difference between reliability map for the complete setup and the setup with missing contacts.
@ccluri What do you think about adding the third row to the error calculation plots in the tutorial to show the reliability map for random sources (both small and large) and three plots for calculated differences (5, 10 and 20 missing contacts) in the grey scale?
@ccluri Does it look better?
@m-kowalska Blue outlines look better. Can you point me to the code of this - I'd like to play around with it a bit.
And regarding 'What do you think about adding the third row to the error calculation plots in the tutorial to show the reliability map for random sources (both small and large) and three plots for calculated differences (5, 10 and 20 missing contacts) in the grey scale?' Sure go ahead, lets see how that would look! :) - Code for this figure is here - https://github.com/Neuroinflab/kCSD-python/blob/master/figures/kCSD_properties/tutorial_broken_electrodes.py
@m-kowalska https://www.dropbox.com/sh/6kykj4d3dx3fp5s/AAACtN49VCbAHA9otOfNXbnOa?dl=0 Has the files pre-computed for your convenience and future reference. Download the folders in this into kcsd-python/figures/kCSD_properties folder, and the script from above should work.
(Wait 1hr after this post for it to finish uploading all the files)
@ccluri Thank you for providing me with your data :)
In my fork (https://github.com/m-kowalska/kCSD-python/tree/master/figures/kCSD_properties) you can find scripts for figure 6, 7, and 9 with different error calculation (consistent with the formulation from the paper).
All through use 300 dpi resolution
1) Please upload the scripts to generate these figures 2) Use gridspec and move the cbar to occupy the whole two rows. 3) Use figure_properties and for using consistent font size and font styles. 4) The 'x labels' 'depth' can be omitted for the first row 5) The subplot labels 'A', 'B' etc must be figure labels and not inside the title itself.
Side question - are these same as the error calculation plots in the tutorial? If so we should use consistent cmap.