A compartmental model of a spiking and adapting olfactory receptor neuron for use in large-scale neuronal network models of the olfactory system.
CBN (Computational Biology and Neurocomputing) seminars
Friday 09 April 2010
to 11:00 at
Clàudia Ramos Garcia (KTH/CSC/CB)
In the aim of obtaining complete models of the biological olfactory system it is necessary to develop models of each one of its parts: the olfactory epithelium (with olfactory receptor neurons), the olfactory bulb and the olfactory cortex.
This thesis deals with the development of a model of the olfactory epithelium suitable for network simulations; in the form of a set of olfactory receptor neurons (ORNs) expressing different kind and amount of olfactory receptors. The developed ORN model is a single cell model at a very low level of abstraction, including Hodgkin-Huxley type ion channels.
Taking experimental data as a reference, in this model I try to represent a good compromise between simplicity and biological plausibility.