Neuroscience Workshop/Lecture (3 of 5) | Chris Rozell | Dimensionality Reduction as a Model of Efficient Coding in the Visual Pathway

The engineering and applied math communities often exploit the fact that natural stimuli have significant structure that lends itself well to dimensionality reduction. The efficient coding hypothesis for sensory neural coding postulates that stages of neural processing should sequentially make the representations more efficient by removing stimulus redundancies, and this is often expressed in the language of information theory. In this talk I will present our work exploring efficient coding models of vision based on dimensionality reduction, including sparsity, low-rank matrix factorizations and random projections. I will show that such approaches are able to account for many observed properties in visual cortex, including classical receptive fields, response properties based on nonclassical or nonlinear receptive fields, and properties of the inhibitory interneurons. NEUROSCIENCE WORKSHOP: Dimensionality Reduction Friday, October 30, 2015 Saturday, October 31, 2015 If you would like to become an AFFILIATE of the Center, please let us know.Subscribe to our YouTube channel to get updates on our latest videos.Follow along with us on Instagram |  Facebook NOTE:  The views and opinions expressed by the speaker do not necessarily reflect those held by the Center for Mind, Brain, and Culture or Emory University.