Data set for "Membrane potential dynamics of excitatory and inhibitory neurons in mouse barrel cortex during active whisker sensing" (Q6705452)

Data set for: Kiritani T, Pala A, Gasselin C, Crochet S, Petersen CCH (2023) Membrane potential dynamics of excitatory and inhibitory neurons in mouse barrel cortex during active whisker sensing. PLOS ONE 18: e0287174. doi: 10.1371/journal.pone.0287174 There are 2 files in this upload: 1. The file named 2023_Kiritani_PLOSONE.pdf is the Open Access pdf of the online publication in PLOS ONE. 2. The file named Kiritani_data_code.zip (~5 GB) is a zipped version of a folder Kiritani_data_code (~5 GB), which contains the data analysed in the study along with the Matlab codes used to generate the published figures. To access the data and codes, first unzip the file. You need to install the Matlab Signal Processing and Curve Fitting Toolboxes. In Matlab, add the path of the folder Kiritani_data_code and all subfolders. Directly from this folder, you should first run the codes in the folder Data_Analysis_Codes, sequentially executing Analysis_1.m through to Analysis_9.m. Note, execution of Analysis_9.m can take a long time (~1 hour on a good desktop PC). You can then run the codes in the folder Figure_Plotting_Codes to generate the figures published in the journal article. In the folder Data, you can also find a DataViewer to visualise the data sets, which you can run by executing DataViewer.m directly from the subfolder Data.