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Iwasa, Kaname; Kuroyanagi, Sachiko; Kugler, Mauricio; Iwata, Atsushi

doi:10.3902/jnns.15.48

The Brain & Neural Networks

2008

DOI: 10.3902/jnns.15.48

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Kaname Iwasa¹,

Sachiko Kuroyanagi²,

Mauricio Kugler³

et al.

Abstract: Pulsed neuron(PN) model can be easily implemented in hardware and is suitable for processing time series data. In this paper, we introduce the method to implement PN model to hardware with FPGA. And we construct aural information processing system based on the human auditory system using implemented PN model. Experimental results show that a proposed system could successfully identify the sound source and location of the used sound data, while running considerably faster than an equivalent software implementat… Show more

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A Pulse‐Type Hardware Level Difference Detection Model Based on Sound Source Localization Mechanism in the Barn Owl

Sakurai

Sekine

2014

Elect Comm in Japan

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SUMMARYAuditory information processing is very important in the darkness where vision information is extremely limited. Barn owls have an excellent hearing information processing function. Barn owls can detect a sound source with high accuracy to within less than two degrees in both the vertical and horizontal directions. When they perform sound source localization, barn owls use the interaural time difference for localization in the horizontal plane, and the interaural level difference for localization in the vertical plane. We are constructing a two-dimensional sound source localization model using pulse-type hardware neuron models based on sound source the localization mechanism of barn owl for the purpose of engineering application. In this paper we propose a pulse-type hardware model for level difference detection based on sound source the localization mechanism of the barn owl. First, we discuss the response characteristics of the mathematical model for level difference detection. Next we discuss the response characteristics of the hardware mode. The results show clearly that this proposed model can be used as a sound source localization model for the vertical direction. C⃝ 2014 Wiley Periodicals, Inc. Electron Comm Jpn, 97(3): 31-37, 2014; Published online in Wiley Online Library (wileyonlinelibrary.com).

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A Pulse‐Type Hardware Level Difference Detection Model Based on Sound Source Localization Mechanism in the Barn Owl

Sakurai

Sekine

2014

Elect Comm in Japan

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A Pulse‐Type Hardware Extremal Nucleus of the Inferior Colliculus Model for 2D Sound Source Localization Based on the Auditory Sense Mechanism of the Barn Owl

Sakurai

Nakae

Saeki

et al. 2015

Elect Comm in Japan

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SUMMARYHearing information is very important when visual information is limited. Sound source localization has been noted as particularly important in hearing information processing. Barn owls have excellent auditory processing. We propose a hardware model based on the auditory sense mechanism of barn owls. In this paper, we consider a model of the external nucleus of the inferior colliculus (ICx), which locates the source of a sound by the interaural time difference (ITD) for localization in the horizontal direction, and the interaural level difference (

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Cited by 2 publications

References 4 publications

A Pulse‐Type Hardware Level Difference Detection Model Based on Sound Source Localization Mechanism in the Barn Owl

A Pulse‐Type Hardware Level Difference Detection Model Based on Sound Source Localization Mechanism in the Barn Owl

A Pulse‐Type Hardware Extremal Nucleus of the Inferior Colliculus Model for 2D Sound Source Localization Based on the Auditory Sense Mechanism of the Barn Owl

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