Program Manager: Dr. Amy Kruse
Biological vision systems have the exquisite ability to recognize, categorize, and learn new objects in fractions of a second. While animals and humans accomplish this seemingly effortlessly and constantly, computational vision systems have, to date, been unable to replicate this feat of biology.
One reason that this translation between biology and computation has not occurred is the lack of quantitative data elucidating the mechanisms for visual scene processing in the brain. The visual neuroscience literature is rich with description, but lacks testable, model-based understanding of the precise transformations that occur throughout the visual pathways.
The Neovision Program will pursue an integrated approach to the object recognition pathway in the brain. This fundamental biological research will be accomplished using methods intentionally geared toward computational and modeling approaches that are amenable to hardware- and software-based implementations. The success of this effort will propel the field of visual neuroscience forward while laying the groundwork for synthetic visual systems with drastically improved speed and fidelity.
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