All the projects described above have experimental components to them which include empirical recording from neurons. We record from mouse acute slice, primary dissociated and iPSC derived neurons. Recordings are done using current/voltage -clamp MEA or combining current-clamp with MEA.
Studying the biophysical properties of neurons, such as the different ion channel distributions and kinetics, can be done by fitting in silico neuronal models to in vitro neuronal recordings. In this process, a detailed neuron is modeled to a set of electrical circuits that… Continue Reading →
The SCN2A gene encodes the neuronal sodium channel Nav1.2, which is critical for the electrical activity of many types of neurons. Mutations in the gene alter the properties of the NaV1.2 channel, disrupting the function of single neurons and potentially… Continue Reading →
The goal of this project is to predict the biophysical properties of a neuron based on its electrophysiological response to stimuli. We built a deep learning convolutional network to predict the free parameters of a neuron model given it’s voltage… Continue Reading →
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