Data and code from: Distinct transmission sites within a synapse for strengthening and homeostasis
Data files
Apr 07, 2025 version files 205.76 KB
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Data_for_Figures.xlsx
134.45 KB
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README.md
2.12 KB
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SS_simulation.xlsx
69.19 KB
Abstract
We used patch-clamp electrophysiology from mouse brain slices to record miniature excitatory postsynaptic currents (mEPSC), evoked EPSCs, and EPSCs with two-photon glutamate uncaging at single spines (uEPSC) to determine the synaptic properties in visual cortex layer 2/3 pyramidal neurons during development from postnatal day (P) 10 until P30. Different parameters of the synaptic responses, such as amplitude, half-width, and frequency of mEPSCs were determined. These data and their analysis are documented in the Excel file Data_for_Figures. We also constructed a synaptic model to explain our results. The model for silent synapses is documented in the Excel file SS_simulation. The synaptic model was developed in MatLab, and the code is included in the file Figure_7_code. The fitting of the mEPSC amplitude distribution is documented in the file Figure_4_code.
https://doi.org/10.5061/dryad.7pvmcvf3x
Description of the data and file structure
Files are stored in matlab (.mat) format or Excel format (.xlsx).
They were used to create the fits for the data in Figure 4 and the simulation in Figure 7. See the manuscript for details of parameter space.
The file Data_for_Figures.xlsx is organized into sheets. Each sheet is named after the Figure panel for which it contains the data. The columns are generally named by the data set as described in the Figure. In addition, the mean and standard error of the mean (SEM) are presented. n represents the number of neurons, while m represents the number of animals. In some sheets, e.g., Fig. 2B, the data set name is illustrated before the column for SEM. Then, the column with the data set name contains the respective mean values. In some sheets, e.g., Fig 1H, the data is organized into rows. See Figure legends for additional information.
The file SS_simulation.xlsx performs the simulation for the failure analysis to assess the % silent synapses. The parameter space for the simulation is entered in the yellow fields. Columns H and further contain the values of each simulated cell with 50 trials in the rows. The column success #syn reports the number of responding synapses and the success #trial reports a success as 1 and failure as 0. 1st and 2nd round are two consecutive simulations for holding the cell at -60mV and NMDA trials is for holding the cell at +40mV. Altogether 20 cells are simulated each round and the results reported in column A to G and rows 15 to 42. The % silent synapses is calculated as described in the methods of the manuscript.
Files and variables
Figure 4 code.zip contains the code for figure 4.
Figure 7 code.zip contains the code for figure 7.
SS_simulation.xlsx contains the simulation for silent synapses in figure S2
Data_for_Figures.xlsx contains the data for the Figures of the manuscript.
Code/software
Matlab
Excel