Fig. 1
From: Towards realistic simulation of disease progression in the visual cortex with CNNs
Convolutional neural networks can be used to simulate the degeneration of the visual cortex. When initially trained for object recognition tasks, they perform with high accuracy, similar to the performance of humans. Inflicting progressive synaptic damage to a CNN results in decline of visual cognitive abilities, similar to patients with neurodegenerative diseases.
