A model for sensory processing in an insect's antennal lobe
Department of Mathematics, The Ohio State University
(January 30, 2007 3:30 PM - 4:30 PM)
Experiments have demonstrated that the projection neurons (PNs) within a mammal's olfactory bulb or insect's antennal lobe (AL) produce complex firing patterns in response to an odor. The firing patterns may consist of epochs in which a subset of PNs fire synchronously. At each subsequent epoch, PNs drop in and drop out of the ensemble, giving rise to "dynamic clustering". I will present a biologically motivated model of the AL that produces dynamic clustering, as well as other complex features of AL activity patterns. For example, the model exhibits of form of spatial decorrelation in which the temporal representations of similar odors evolve to distinct patterns. Using singular perturbation methods, we reduce the analysis of the model to a discrete system. The discrete system allows us to systematically study how properties of the attractors depend on parameters including network architecture.