Concentration-Invariant Odor Representation in the Olfactory System by Presynaptic Inhibition

被引：7

作者：

Zhang, Danke ^{[1
,2
]}

Li, Yuanqing ^{[1
]}

Wu, Si ^{[2
]}

机构：

[1] S China Univ Technol, Sch Automat Sci & Engn, Guangzhou 510641, Guangdong, Peoples R China

[2] Beijing Normal Univ, State Key Lab Cognit Neurosci & Learning, Beijing 100875, Peoples R China

来源：

COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE | 2013年 / 2013卷

关键词：

GAIN-CONTROL; SIMPLE CELLS; NORMALIZATION; SYNAPSES; CORTEX;

D O I：

10.1155/2013/507143

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

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.

引用

页数：6

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