Topic: Marr-Albus-Ito model

A fundamental goal of neuroscience is the functional understanding of neural circuit architecture. Previous studies revealed the importance of network depth in visual and auditory circuits, but it remains elusive why predominantly non-convolutional circuits, such as the cerebellum or olfactory systems, have multiple feedforwardly connected layers. Recent deep learning works revealed that a two-hidden-layer network has a quadratically more memory capacity than a single-hidden-layer network with the same number of hidden layer neurons, suggesting the importance of the network depth for memory ca