Chemosensory Processing in a Spiking Model of the Olfactory Bulb: Chemotopic Convergence and Center Surround Inhibition
Abstract
This paper presents a neuromorphic model of two olfactory signal- processing primitives: chemotopic convergence of olfactory receptor neurons, and center on-off surround lateral inhibition in the olfactory bulb. A self-organizing model of receptor convergence onto glomeruli is used to generate a spatially organized map, an olfactory image. This map serves as input to a lattice of spiking neurons with lateral connections. The dynamics of this recurrent network transforms the initial olfactory image into a spatio-temporal pattern that evolves and stabilizes into odor- and intensity-coding attractors. The model is validated using experimental data from an array of temperature-modulated gas sensors. Our results are consistent with recent neurobiological findings on the antennal lobe of the honeybee and the locust.
Cite
Text
Raman and Gutierrez-osuna. "Chemosensory Processing in a Spiking Model of the Olfactory Bulb: Chemotopic Convergence and Center Surround Inhibition." Neural Information Processing Systems, 2004.Markdown
[Raman and Gutierrez-osuna. "Chemosensory Processing in a Spiking Model of the Olfactory Bulb: Chemotopic Convergence and Center Surround Inhibition." Neural Information Processing Systems, 2004.](https://mlanthology.org/neurips/2004/raman2004neurips-chemosensory/)BibTeX
@inproceedings{raman2004neurips-chemosensory,
title = {{Chemosensory Processing in a Spiking Model of the Olfactory Bulb: Chemotopic Convergence and Center Surround Inhibition}},
author = {Raman, Baranidharan and Gutierrez-osuna, Ricardo},
booktitle = {Neural Information Processing Systems},
year = {2004},
pages = {1105-1112},
url = {https://mlanthology.org/neurips/2004/raman2004neurips-chemosensory/}
}