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Wednesday, December 9 • 16:30 - 17:20
Computational Principles for Deep Neuronal Architectures

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Recent progress in machine applications of deep neural networks have highlighted the need for a theoretical understanding of the capacity and limitations of these architectures. I will review our understanding of sensory processing in such architectures in the context of the hierarchies of processing stages observed in many brain systems. I will also address the possible roles of recurrent and top - down connections, which are prominent features of brain information processing circuits.


Wednesday December 9, 2015 16:30 - 17:20
Level 2 room 210 AB