Concentration-Invariant Odor Representation in the Olfactory System by Presynaptic Inhibition
Joint Authors
Zhang, Danke
Li, Yuanqing
Wu, Si
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-02-26
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
The present study investigates a network model for implementing concentration-invariant representation for odors in the olfactory system.
The network consists of olfactory receptor neurons, projection neurons, and inhibitory local neurons.
Receptor neurons send excitatory inputs to projection neurons, which are modulated by the inhibitory inputs from local neurons.
The modulation occurs at the presynaptic site from a receptor neuron to a projection one, leading to the operation of divisive normalization.
The responses of local interneurons are determined by the total activities of olfactory receptor neurons.
We find that with a proper parameter condition, the responses of projection neurons become effectively independent of the odor concentration.
Simulation results confirm our theoretical analysis.
American Psychological Association (APA)
Zhang, Danke& Li, Yuanqing& Wu, Si. 2013. Concentration-Invariant Odor Representation in the Olfactory System by Presynaptic Inhibition. Computational and Mathematical Methods in Medicine،Vol. 2013, no. 2013, pp.1-6.
https://search.emarefa.net/detail/BIM-477112
Modern Language Association (MLA)
Zhang, Danke…[et al.]. Concentration-Invariant Odor Representation in the Olfactory System by Presynaptic Inhibition. Computational and Mathematical Methods in Medicine No. 2013 (2013), pp.1-6.
https://search.emarefa.net/detail/BIM-477112
American Medical Association (AMA)
Zhang, Danke& Li, Yuanqing& Wu, Si. Concentration-Invariant Odor Representation in the Olfactory System by Presynaptic Inhibition. Computational and Mathematical Methods in Medicine. 2013. Vol. 2013, no. 2013, pp.1-6.
https://search.emarefa.net/detail/BIM-477112
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-477112