Computational Principles of Natural Sensory Processing
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 parsimonious representations of events in the outside world. Our approaches are often derived from methods in statistical physics, mathematics, and information theory.
We also work on methods for analyzing neural data, including
methods for analyzing neural responses to natural stimuli, such as a
short video clip or sound recording during a stroll on a forest
trail. In the past, scientists had to rely on simplified objects on a
computer screen or random stimuli to garner information on how the
brain processes visual information. Natural stimuli are often much
better for probing neural responses than noise stimuli. Using
approaches designed to work with natural stimuli, we hope to achieve a
more complete picture of how the brain processes information.
We thank the following foundations for their generous support: National Institute of Health, Searle Scholars Program, Alfred P. Sloan Foundation, National Science Foundation, The Ray Thomas Edwards Foundation, the McKnight Foundation, and the W.M. Keck Foundation.
News:
- Sept. 1, 2009: Alfred Kaye wins National Research Service Award from NIDCD
- Aug. 9, 2009: Minjoon Kouh to start Assistant Professorship at Drew University
- May 19, 2009: Adam Calhoun wins 2009 NSF Graduate Research Fellowship
- Dec. 23, 2008: Yuan Liu wins 2009 Pioneer Postdoctoral Fellowship
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