2019
From deep learning to mechanistic understanding in neuroscience: the structure of retinal prediction
NeurIPS 2019poster
Recently, deep feedforward neural networks have achieved considerable success in modeling biological sensory processing, in terms of reproducing the input-output map of sensory neurons. However, such models raise profound questions about the very nature of explanation in neuroscience. Are we simply…