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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