Modeling of Spatial and Temporal Dynamics in Biological Olfactory Systems
Abstract
The olfactory system is a very efficient biological setup capable of odor information processing with neural signals. The nature of neural signals restricts the information representation to multidimensional temporal sequences of spikes. The information is contained in the inter-spike intervals in each individual neural signal and in inter-spike intervals between multiple signals. A mechanism of interactions between random excitations evoked by odorants in the olfactory receptors of the epithelium and deterministic operation of the olfactory bulb is proposed and evaluated in this project. Inverse Frobenius-Perron models of the bulbs temporal sequences are fitted to the inter-spike distributions of temporally modulated receptor signals. Ultimately, such pattern matching results in an ability to recognize odors and offers a hypothetical model for signal processing occurring in the primary stage of the olfactory system.
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 21, 2007
- Accession Number
- ADA472796
Entities
People
- Andy G. Lozowski
- Jacek M. Zurada
- Mykola Lysetskiy
Organizations
- University of Louisville