Deep Learning Models of the Retinal Response to Natural Scenes

Abstract

A central challenge in sensory neuroscience is to understand neural computations and circuit mechanisms that underlie the encoding of ethologically relevant, natural stimuli. In multilayered neural circuits, nonlinear processes such as synaptic transmission and spiking dynamics present a significant obstacle to the creation of accurate computational models… (More)

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Cite this paper

@article{McIntosh2016DeepLM, title={Deep Learning Models of the Retinal Response to Natural Scenes}, author={Lane McIntosh and Niru Maheswaranathan and Aran Nayebi and Surya Ganguli and Stephen Baccus}, journal={Advances in neural information processing systems}, year={2016}, volume={29}, pages={1369-1377} }