167 citations · 210 across the 2 of their papers we have counts for
3 papers
From deep learning to mechanistic understanding in neuroscience: the structure of retinal prediction
Hidenori Tanaka, Aran Nayebi, Niru Maheswaranathan +3
Recently, deep feedforward neural networks have achieved considerable success in modeling biological sensory processing, in terms of reproducing the input-output map of sensory neu…
Recurrent Segmentation for Variable Computational Budgets
Lane McIntosh, Niru Maheswaranathan, David Sussillo +1
State-of-the-art systems for semantic image segmentation use feed-forward pipelines with fixed computational costs. Building an image segmentation system that works across a range…
Deep Learning Models of the Retinal Response to Natural Scenes
Lane T. McIntosh, Niru Maheswaranathan, Aran Nayebi +2
A central challenge in neuroscience is to understand neural computations and circuit mechanisms that underlie the encoding of ethologically relevant, natural stimuli. In multilayer…