167 citations · 533 across the 8 of their papers we have counts for
3 papers · 1 filter
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…
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…
Critical and maximally informative encoding between neural populations in the retina
David B. Kastner, Stephen A. Baccus, Tatyana O. Sharpee
Computation in the brain involves multiple types of neurons, yet the organizing principles for how these neurons work together remain unclear. Information theory has offered explan…