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Comparing Deep Learning Algorithms to the Brain in Various Domains
This chapter explores the idea of comparing deep learning algorithms to the brain in various domains such as spatial navigation, motor control, auditory processing, and language and speech. It discusses the similarities between brain responses and deep net activations, highlighting how artificial neural networks can be useful models for the neuroscience of vision.