The Computational Neurobiology Laboratory

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The Sharpee Lab: Information Transmission in Biological Systems

CNL-T 2011

Our group works on computational principles of how the brain processes information. We are interested in how sensory processing in the brain is shaped by the animal's need to create robust and parsimonious representations of events in the outside world. There is a focus on understanding how invariant feature selectivity is achieved in cortex. We also explore the role of statistics of natural stimuli, noise, and irregularities of biological circuits in shaping the underlying neural computations. Our approaches are often derived from methods in statistical physics, mathematics, and information theory.

Minimal Model For a Multidimensional Neuronal Nonlinearity

Latest Publications


  • : Yonatan Aljadeff defends his Ph.D. thesis in Physics.
  • : Ryan Rowekamp defends his Ph.D. thesis in Physics.
  • : Adam Calhoun defends his Ph.D. thesis in Neuroscience.
  • : Tatyana Sharpee wins CAREER Award from NSF.
  • : Michael Eickenberg receives " 2012 Brains for Brains Young Researchers' Computational Neuroscience Award" from the Bernstein Association for Computational Neuroscience
  • : Anirvan Nandy wins 2012 Pioneer Postdoctoral Fellowship
  • : Jamie Jeanne - Thesis defense
  • : Jeff Fitzgerald defends his Ph.D. thesis in Physics
  • : Alfred Kaye wins National Research Service Award from NIDCD
  • : Minjoon Kouh to start Assistant Professorship at Drew University
  • : Adam Calhoun wins 2009 NSF Graduate Research Fellowship
  • : Yuan Liu wins 2009 Pioneer Postdoctoral Fellowship