Ping Li Department of Statistics and Biostatistics Department of Computer Science
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Transcript of Ping Li Department of Statistics and Biostatistics Department of Computer Science
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Discussion: Modeling Visual Cortex V4 in Naturalistic Conditions with Invariant and Sparse Image Representations
Ping Li Department of Statistics and Biostatistics
Department of Computer ScienceRutgers University
May 2, 2014
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Picture from Simon Thorpe
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Question (Curiosity) #1
• The input images are, by default, dense. Are there firm scientific evidences that human brains process visual signals through a sparse and low-rank mechanism?
• If so, then do we know, at which layer, an input image becomes a sparse signal: retina, V1, V2, V4…?
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Question (Curiosity) #2 • The talk mentioned Deep Learning as future work. Are there
more concrete thoughts & research plans?
• For example, will the current multi-layer invariant feature extractor be replaced by an automatic feature learner? How many layers are reasonable for this task? 10?
• Are there firm biological evidence that the human visual system functions as a deep architecture?
• If so, is there intuition why “human/brain computers” are so fast while deep learning can take months of GPU time?
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Thank you and other questions from audience?