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 response to a set of stimuli. Trainees in this project will have the opportunity to interact with various stages of the machine learning process, from data generation, analysis to neural network training. For this project we are looking for students with an interest in machine learning, optimization, statistics and/or neuroscience with good programming skills to help us improve the algorithm, generate training data, and increase the accuracy of our models.
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