Explores machine learning models for neuroscience, focusing on understanding brain function and core object recognition through convolutional neural networks.
Delves into deep learning's dimensionality, data representation, and performance in classifying large-dimensional data, exploring the curse of dimensionality and the neural tangent kernel.