Training data for miniML

This dataset contains annotated training data used to train the deep learning models used for miniML, a synaptic event detection method. Details about the method are outlined in the following publication:

O’Neill et al. A deep learning framework for automated and generalized synaptic event analysis. https://doi.org/10.7554/eLife.98485

The main miniML model was trained using data from the following synaptic recordings:

-              1_GC_mepsc_train.h5: Mouse cerebellar mossy fiber to granule cell (mEPSCs)

Training datasets for transfer learning for following types of recordings are provided:

-              2_GC_mepsp_train.h5: Mouse cerebellar mossy fiber to granule cell (mEPSPs)

-              3_NMJ_wt_train.h5: Drosophila neuromuscular junction WT (mEPSCs)

-              4_NMJ_glur2a_train.h5: Drosophila neuromuscular junction GluRIIA (mEPSCs)

-              5_ZF_sepsc_train.h5: Zebrafish telencephalon principal neurons (sEPSCs)

-              6_iglusnfr_train.h5: Cultured rat hippocampal neurons using iGluSnFR3 (glutamate transients)

-              7_asap5_train.h5: Cultured rat hippocampal neurons using ASAP5 (optical mEPSPs)

For more information on the training data, please refer to the accompanying readme.pdf file.