Programs

Computational Neuroscience

After decades of exponential growth in power, existing computer architectures still fail to match the ability of the mammalian brain to interpret, respond to, and learn from natural sensory inputs. Rapid progress in neuroscience suggests an alternative strategy for achieving brain-like behavior: identifying the computational primitives that underlie the processing in biological neural circuits. We develop high-performance neural simulation tools and to use them to find these primitives, which make the brain so much more powerful than the familiar von Neumann computer or artificial neural networks (ANNs).

Segmenting Hyperspectral Scenes with Occlusions

We develop new models for segmentation hyperspectral scenes with occlusions and, particularly, the problem of target identification in these scenes. The approach is based on modeling the appearance of three-dimensional scenes with backgrounds, objects of interest, and possible occluders. We also consider novel invariant shape priors that can be used to guide segmentation and detection processes towards user specified objects of interest.

Upcoming Events

 

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Workshop on Quantitative Models to Assess Infectious Bacterial Disease Stages (New Mexico Consortium, from Dec 09, 2009 08:30 AM to Dec 12, 2009 05:30 PM)

The workshop will take place at the New Mexico Consortium in Los Alamos in the Los Alamos Research Park. Wednesday's meetings will on the second floor (follow signs to the room). Thursday and Friday sessions will be in the NMC offices on the 3rd floor, suite 301.