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Revealing Fine Structures of the Retinal Receptive Field by Deep Learning Networks
[article]
2020
arXiv
pre-print
Deep convolutional neural networks (CNNs) have demonstrated impressive performance on many visual tasks. Recently, they became useful models for the visual system in neuroscience. However, it is still not clear what are learned by CNNs in terms of neuronal circuits. When a deep CNN with many layers is used for the visual system, it is not easy to compare the structure components of CNNs with possible neuroscience underpinnings due to highly complex circuits from the retina to higher visual
arXiv:1811.02290v2
fatcat:v7wmejxsm5c4tcm7dkricljdri