Gershon
Buchsbaum, Ph.D.
Research Interests
Visual signal processing and image coding, modeling of retinal and
visual
system architecture and function, auditory-visual scene analysis,
computational
neuroscience.
Research Techniques
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. |
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