Deep learning with connectomes

Deep learning is a class of machine learning methods that have recently produced state-of-the-art results in a number of classic computer vision and image analysis problems. These methods use highly nonlinear neural network models to learn useful representations of the data for the prediction task at hand. This chapter covers the application of deep learning models to connectome data analysis, reviewing popular types of neural network architectures, practical steps for training and evaluating a deep learning model, and limitations and potential future work in developing deep learning models for connectomes.