Network model of chemical-sensing system inspired by mouse taste buds |
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Authors: | Katsumi Tateno Jun Igarashi Yoshitaka Ohtubo Kazuki Nakada Tsutomu Miki Kiyonori Yoshii |
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Institution: | Department of Brain Science and Engineering, Kyushu Institute of Technology, Hibikino, Wakamatsu-ku, Kitakyushu, Japan. tateno@brain.kyutech.ac.jp |
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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. |
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