Exploring Visual Systems and Neural Models

This chapter examines the visual system in neuroscience, focusing on receptive fields of neurons and their responses to stimuli. It highlights research on feed-forward processing models and the challenges faced by deep neural networks, including exploring top-down feedback in visual recognition tasks. The discussion also addresses advancements in machine learning, particularly in visual tasks, and the implications of learning algorithms on the performance of recurrent and convolutional neural networks.