Network model of chemical-sensing system inspired by mouse taste buds.

Abstract:

:Taste buds endure extreme changes in temperature, pH, osmolarity, so on. Even though taste bud cells are replaced in a short span, they contribute to consistent taste reception. Each taste bud consists of about 50 cells whose networks are assumed to process taste information, at least preliminarily. In this article, we describe a neural network model inspired by the taste bud cells of mice. It consists of two layers. In the first layer, the chemical stimulus is transduced into an irregular spike train. The synchronization of the output impulses is induced by the irregular spike train at the second layer. These results show that the intensity of the chemical stimulus is encoded as the degree of the synchronization of output impulses. The present algorithms for signal processing result in a robust chemical-sensing system.

journal_name

Biol Cybern

journal_title

Biological cybernetics

authors

Tateno K,Igarashi J,Ohtubo Y,Nakada K,Miki T,Yoshii K

doi

10.1007/s00422-011-0447-5

subject

Has Abstract

pub_date

2011-07-01 00:00:00

pages

21-7

issue

1

eissn

0340-1200

issn

1432-0770

journal_volume

105

pub_type

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