A deep learning framework for synaptic event detection

'minis' is a software for electrophysiological data analysis. It allows you to detect and analyse spontaneous postsynaptic potetnials/currents in whole-cell patch clamp recordings and to estimate the quantal size in the central synapse.

Template correlation-based detection of postsynaptic currents.

This project explores the effect of insulin on neuronal communication and excitability in the rat dorsomedial hypothalamus.

Analysis code for the minis benchmarking study