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Proceedings Paper

Biologically inspired circuitry that mimics mammalian hearing
Author(s): Allyn Hubbard; Howard Cohen; Christian Karl; David Freedman; David Mountain; Leah Ziph-Schatzberg; Marianne Nourzad Karl; Sarah Kelsall; Tyler Gore; Yirong Pu; Zibing Yang; Xinyu Xing; Socrates Deligeorges
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Paper Abstract

We are developing low-power microcircuitry that implements classification and direction finding systems of very small size and small acoustic aperture. Our approach was inspired by the fact that small mammals are able to localize sounds despite their ears may be separated by as little as a centimeter. Gerbils, in particular are good low-frequency localizers, which is a particularly difficult task, since a wavelength at 500 Hz is on the order of two feet. Given such signals, crosscorrelation- based methods to determine direction fail badly in the presence of a small amount of noise, e.g. wind noise and noise clutter common to almost any realistic environment. Circuits are being developed using both analog and digital techniques, each of which process signals in fundamentally the same way the peripheral auditory system of mammals processes sound. A filter bank represents filtering done by the cochlea. The auditory nerve is implemented using a combination of an envelope detector, an automatic gain stage, and a unique one-bit A/D, which creates what amounts to a neural impulse. These impulses are used to extract pitch characteristics, which we use to classify sounds such as vehicles, small and large weaponry from AK-47s to 155mm cannon, including mortar launches and impacts. In addition to the pitchograms, we also use neural nets for classification.

Paper Details

Date Published: 5 May 2009
PDF: 12 pages
Proc. SPIE 7321, Bio-Inspired/Biomimetic Sensor Technologies and Applications, 732109 (5 May 2009); doi: 10.1117/12.821282
Show Author Affiliations
Allyn Hubbard, Boston Univ. (United States)
BioMimetic Systems, Inc. (United States)
The Boston Univ. Photonics Ctr. (United States)
Howard Cohen, Boston Univ. (United States)
Christian Karl, Boston Univ. (United States)
BioMimetic Systems, Inc. (United States)
Intel, Inc. (United States)
David Freedman, Boston Univ. (United States)
David Mountain, Biomimetic Systems, Inc. (United States)
Boston Univ. (United States)
Leah Ziph-Schatzberg, The Boston Univ. Photonics Ctr. (United States)
Marianne Nourzad Karl, Intel, Inc. (United States)
Boston Univ. (United States)
Sarah Kelsall, Boston Univ. (United States)
Tyler Gore, Boston Univ. (United States)
BioMimetic Systems, Inc. (United States)
Yirong Pu, Boston Univ. (United States)
Zibing Yang, Boston Univ. (United States)
Intel, Inc. (United States)
Xinyu Xing, Boston Univ. (United States)
Socrates Deligeorges, Boston Univ. (United States)
BioMimetic Systems, Inc. (United States)


Published in SPIE Proceedings Vol. 7321:
Bio-Inspired/Biomimetic Sensor Technologies and Applications
Nicholas F. Fell; Venkataraman S. Swaminathan, Editor(s)

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