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@@ -6,9 +6,9 @@ The datasets contain LFPs resampled at 500 Hz in .h5 file format. We uploaded LF
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The Python codes that were used to analyze the data and generate the figures, can be found in three scripts:
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-1) Script 1: contains the function for calculating line length (used to generate subfigures in Fig.1, Fig. 4, Fig.S2, Fig. S3, and Fig. S4)
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+1) Script 1: contains the function for calculating line length. The Script 1 was used to generate subfigures in Fig.1, Fig. 4, Fig.S2, Fig. S3, and Fig. S4.
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-2) Script 2: contains functions for (1) extracting data snippets before and after light pulses and (2) calculating line length for these snippets. Additionally, examples are provided of how we used the functions (3) to extract LFP snippets and save them as matrices and (4) to calculate and save the line lengths of these snippets.
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+2) Script 2: contains functions for (1) extracting data snippets before and after light pulses and (2) calculating line length for these snippets. Additionally, examples are provided of how we used the functions (3) to extract LFP snippets and save them as matrices and (4) to calculate and save the line lengths of these snippets. The script 2 was used for Fig. 2.
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3) Script 3: contains functions for spectral analysis, including calculation and plotting of power spectral density (PSD) and plotting of spectrograms. The script contains three examples of how the functions were used to analyze and present data.
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@@ -16,4 +16,6 @@ Example 1. Plotting individual PSDs and creating a matrix with all PSDs
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Example 2. Extracting the power areas of the delta, theta, beta, and gamma oscillations by calculating the area under the curve of PSD plots in respective ranges
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-Example 3. Plotting spectrograms
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+Example 3. Plotting spectrograms
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+
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+The script 3 was used for Fig. 3, Fig. 4, Fig. S2, and Fig S3.
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