Activity-Dependent Model of Axonal Targeting in the Developing Olfactory Bulb Driven by Population Coded Chemosensor Input
Science Direct Working Paper No S1574-034X(04)70272-0
8 Pages Posted: 5 Jun 2017 Last revised: 16 Nov 2018
Date Written: March 2003
Two recent studies revealed that odorant-evoked activity-dependent competition is significant in the organisation and maintenance of the olfactory system. In this paper, we investigate the generation of a chemotopic sensory map in the olfactory bulb through three models driven by high-density optical chemosensor arrays which have similar properties to olfactory receptor neurons. By exposing the sensor arrays to various odours and Hebbian learning these models achieve self-organisation, potentially explaining the activity-dependent competition demonstrated by recent experimental studies. Our final model also predicts a role for periglomerular cells in the formation of the chemotopic sensory map.
Keywords: Computational Neuro Science, Computational Neuro Science, Computational Neuro Science, Conferences/0303006
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