Campuses:

Spatial models

Tuesday, December 10, 2013 - 2:00pm - 2:50pm
Yuri Dabaghian (Rice University)
For an animal to successfully navigate its environment, it must form
an accurate internal representation of its surroundings.
Location-specific firing and co-firing of the hippocampal place cells
play a crucial role in spatial cognition, which according to our
recently published model is more akin to a subway map than a street
map, i.e., is primarily topological. We tested our topological model
of hippocampal activity, varying several parameters in computer
Monday, September 23, 2013 - 3:15pm - 4:05pm
Stanley Osher (University of California, Los Angeles)
We have developed, with Russell Warren, a method for HS image data that requires neither pure pixels nor any prior information about the image other than an estimate of the number of different materials present. We use nonlinear optimization and estimate the spectral and spatial structure through a relatively simple noise-tolerant algorithm. This removes the need for separate end member and spatial abundance steps. The algorithm is illustrated on real data.
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