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NJIT Mathematical Biology Seminar
Tuesday, January 30, 2007, 4:00pm
Cullimore Hall 611
New Jersey Institute of Technology
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Neural Coding and Representation of Visual Information
Department of Neurology and Neuroscience
Weill Medical College of Cornell University
Information theory forms a natural framework for the analysis of how neurons encode and represent the sensory world. However, direct calculation of information-theoretic quantities from laboratory data is fraught with difficulty. To circumvent these difficulties, we introduce an indirect approach, that relies on construction of families of metrics between temporal sequences. This approach, applied to electrophysiologic recordings in the visual cortex, leads to quantitative and qualitative insights concerning neural representation of visual information.
Last Modified: Jan 12, 2007
Victor Matveev
m a t v e e v @ n j i t . e d u