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Proceedings Paper

A bio-inspired auditory perception model for amplitude-frequency clustering
Author(s): Paolo Arena; Luigi Fortuna; Mattia Frasca; Gaetana Ganci; Luca Patane
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Paper Abstract

In this paper a model for auditory perception is introduced. This model is based on a network of integrate-and-fire and resonate-and-fire neurons and is aimed to control the phonotaxis behavior of a roving robot. The starting point is the model of phonotaxis in Gryllus Bimaculatus: the model consists of four integrate-and-fire neurons and is able of discriminating the calling song of male cricket and orienting the robot towards the sound source. This paper aims to extend the model to include an amplitude-frequency clustering. The proposed spiking network shows different behaviors associated with different characteristics of the input signals (amplitude and frequency). The behavior implemented on the robot is similar to the cricket behavior, where some frequencies are associated with the calling song of male crickets, while other ones indicate the presence of predators. Therefore, the whole model for auditory perception is devoted to control different responses (attractive or repulsive) depending on the input characteristics. The performance of the control system has been evaluated with several experiments carried out on a roving robot.

Paper Details

Date Published: 29 June 2005
PDF: 10 pages
Proc. SPIE 5839, Bioengineered and Bioinspired Systems II, (29 June 2005); doi: 10.1117/12.607862
Show Author Affiliations
Paolo Arena, Universita degli Studi di Catania (Italy)
Luigi Fortuna, Universita degli Studi di Catania (Italy)
Mattia Frasca, Universita degli Studi di Catania (Italy)
Gaetana Ganci, Universita degli Studi di Catania (Italy)
Luca Patane, Universita degli Studi di Catania (Italy)


Published in SPIE Proceedings Vol. 5839:
Bioengineered and Bioinspired Systems II
Ricardo A. Carmona; Gustavo Linan-Cembrano, Editor(s)

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