UCSD / CALTECH / PITTSBURGH

 

ONR MURI PROGRAM IN

 

EXPLOITING NONLINEAR DYNAMICS FOR NOVEL DEVICES

 

WINTER SCHOOL 2008

 

Chemical Discrimination and Localization using Biologically

Based Olfactory Processing

 

(Organizers: Henry Abarbanel, Gilles Laurent, and Allen Selverston)

 

***************************************************************************

CENTER FOR MAGNETIC RECORDING RESEARCH (CMRR) AUDITORIUM

UNIVERSITY OF CALIFORNIA, SAN DIEGO

JANUARY 10-12, 2008

 

FRANK GRASSO, Brooklyn College, City University of New York: Mechanisms of

Biomimetics and Cognitive Robotics

KRISTI MORGANSEN, University of Washington: Nonlinear Dynamical Control

EDWARD OTT, University of Maryland: Synchronization of Dynamics on Networks

NATHAN URBAN, University of Pittsburgh: Dynamic Coding in the Olfactory System

 

 

This is the first in an annual series of Winter Schools focused on the transfer of the biological principles of odor discrimination, localization and tracking to the engineering of devices that perform these actions using cutting-edge principles. The series is sponsored by the U.S. Office of Naval Research as part of its UCSD/Caltech/Pittsburgh MURI program in Chemical Discrimination and Localization using Biologically Based Olfactory Processing. The emphasis of this year's School will be a broad overview of the general principles underlying the ability of animals to detect and localize odors and how these can be used in engineering devices. This will include lectures on control and robotics, olfaction, chemical sensing, and plume tracking. The School is intended for advanced graduate students and researchers interested in this promising area. Graduate students may apply for a travel award. When applying, send one letter of reference from your dissertation supervisor. Please apply to: Terry Peters (tpeters(at)ucsd.edu), University of California, San Diego, Institute for Nonlinear Science, 9500 Gilman Drive, La Jolla, CA 92093-0402 by November 15, 2007. Phone: (858) 534‑7753, Fax: (858) 534-7664. For more information visit our website: http://inls.ucsd.edu/ws2008.html