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Gershon Buchsbaum, Ph.D.


Professor and Graduate Group Chair
Dept of Bioengineering
School of Engineering and Applied Science
Skirkanich Hall, Suite 240 210 South 33rd Street
(215) 898-5767 FAX: (215) 573-2071
email:   gershon@seas.upenn.edu
home page: www.seas.upenn.edu/~gershon
Click here for selected publications since Dr. Buchsbaum's arrival at Penn



RESEARCH INTERESTS

Visual signal processing and image coding; modeling of retinal and visual system architecture and function; auditory-visual scene analysis; computational neuroscience; physiological modeling and simulation; image processing; digital signal processing; neural networks

 

RESEARCH SUMMARY

The neural architecture of the visual system with its unique and elaborate response properties in space, time and color provides us with all the features and richness of our visual world. The main goals of our research are: 1. to understand how the visual neural architecture is matched to the image and how it samples, codes and processes the different features of the image. 2. To identify the attributes of natural images that are most critical for coding in the visual system. Questions we ask are: What are the significant correlations and functional relations among the different image features? How do critical parameters such as contrast in time, space and color and local and global details affect visual image processing? How does visual processing match and adapt to dynamic changes in the image? How does the visual system extract image features such as spatial detail and color? To investigate these questions, we apply quantitative analysis and simulation methods from image processing and neural networks that are rigorously based on known anatomy and physiology and explore the design principles and strategy underlying the visual system neural architecture. A new area of interest is exploring correlations and inherent structure in auditory-visual scenes and how these can be exploited to code and process multisensory scenes.

KEY WORDS:
Vision; retina; color-vision; image processing; auditory-visual scene analysis; computational neuroscience


 
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