Data and code from: Distinct transmission sites within a synapse for strengthening and homeostasis

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., , , # Data and code from: Distinct transmission sites within a synapse for strengthening and homeostasis

[https://doi.org/10.5061/dryad.7pvmcvf3x](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, ...,