A self-organizing model of chemotopic convergence for olfactory coding

Author

Gutierrez-Osuna, R.

Author_Institution

Dept. of Comput. Sci. & Eng., Wright State Univ., Dayton, OH, USA

Volume

1

fYear

2002

fDate

2002

Firstpage

236

Abstract

Presents a self-organizing model of convergence for the early stages of the olfactory pathway. The model generates a chemotopic projection from olfactory receptor neurons onto glomeruli based on receptor affinity distributions. The resulting glomerular images reveal an olfactory code consistent with neurobiology, whereby odor quality is encoded by a unique spatial pattern across glomeruli, and odor concentration is related to the intensity and spread of this pattern. The model is also able to predict a broadening of the intensity tuning range of glomeruli.

Keywords

biocontrol; chemioception; neurophysiology; physiological models; self-adjusting systems; chemotopic convergence; chemotopic projection; glomerular images; glomeruli; intensity tuning range broadening; neurobiology; odor concentration; odor quality; olfactory coding; olfactory pathway early stages; olfactory receptor neurons; receptor affinity distributions; self-organizing model; spatial pattern; Circuits; Computer science; Convergence; Feature extraction; Lattices; Nerve fibers; Neurons; Olfactory; Predictive models;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology, 2002. 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society EMBS/BMES Conference, 2002. Proceedings of the Second Joint

ISSN

1094-687X

Print_ISBN

0-7803-7612-9

Type

conf

DOI

10.1109/IEMBS.2002.1134470

Filename

1134470