Mathematical Biology seminar|
Mathematical Biosciences Institute, Ohio State Univesity
"Representations of odor mixtures and learning in insect olfactory system"
Wednesday February 9, 2005
3:05pm in LCB 121
multiple levels of analysis - genetic, molecular,
electrophysiological, behavioral - is becoming possible in many
biological systems. An example of this is the study of learning in
insect (and mammal) olfactory system. A prominent conjecture in the
field is that the behavioral phenomena must in some way be based on
the representations of odors and on learning-induced changes to these
representations in the antennal lobe of the insect brain. But before
one can do electrophysiological experiments to test this, it is
necessary to investigate what types of odor-related activity patterns
and what changes to them would support the conjecture. We use
mathematical modeling to address this question.
Our models of insect antennal lobe are in the form of either a
discrete network or an integro-differential equation with short-range
inhibition. We use these models to study the spatio-rate
representations of single odors and binary odor mixtures in the
antennal lobe, and to study how these representations are modified by
learning. The modeling results suggest what could be the neuronal
substrate for various behavioral phenomena.