The dopamine neuron synaptic map in the striatum. Chuhma et al.

Raw data and a Python script for PSC size prediction in Chuhma et al.
'Raw data PSC mapping' folder has raw data (csv files) for Fig 3, which were also used for prediction of PSC sizes (Fig 4 and Python script). The folder also has a csv file with 3D locations of the 150 µm cubic grid lattice (grid_150um.csv). All other raw data sets are in 'raw_data (NC).xlsx'; each sheet has a single data set.
'GluF_ChI_pred.py' is a Python source code for PSC prediction with deep learning using PSC recording raw data for training. This script shows one example for the iGluR response in ChIs (Glu_fast_ChI.csv) as a training data set. By using different training data sets with the same model, different receptor/cell type prediction maps will be obtained.
'PSC size predictions' folder has results of prediction, with 100 repetitions for each receptor/cell type, as csv files, which were used for this paper.