Abstract
In this paper we describe an implementation of a part of binaural sound localization system, which uses Interaural Time Differences (ITDs). All neurons are simulated by a spike response model, which includes postsynaptic potentials (PSPs) and refractory period. A winner-take-all (WTA) network selects the dominant source from the representation of the sound’s angles of incidence. At the beginning, we explain the principles of the localization system, and then details of implementation of its input part: Inner Hair Cells (IHCs), responsible for transforming input sound signals into spikes.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Carr, C.E., Konishi, M.: A circuit for detection of interaural time differences in the brainstem of the barn owl, Journal of Neuroscience 10, 3227–3246 (1990)
Gerstner, W., Kodierung und Signalübertragung in Neuronalen Systemen, Reihe Physik, Verlag Harri Deutsch, Thun — Frankfurt am Main (1993)
Gerstner, W., Kempter, R., Leo van Hemmen, J., Wagner, H.: A neuronal learning rule for submillisecond temporal coding, Nature 383, 76–78 (1996)
Ižák, R., Scarbata, G., Paschke, P.: Sound source localization with an integrate-and-fire neural system, Proceedings of 7th International Conference on Microelectronics for Neural, Fuzzy, and Bio-Inspired Systems MicroNeuro’99, 103–109, Granada, Spain (1999)
Jeffress, L.A.: A place theory of sound localization, J. Comp. Physiol. Psychol. 41, 35–39 (1948)
Kaski, S., Kohonen, T.: Winner-Take-All Networks for Physiological Models of Competitive Learning, Neural Network 7, 973–984 (1994)
Lazzaro, J., Mead, C.: A silicon model of auditory localization, Neural Computation 1(1), 41–70 (1989)
Slaney, M.: Lyon’s cochlea model, Technical Report 13, Apple, Advanced Technology Group (1988)
Schonauer, T., Jahnke, A., Roth, U., Klar, H.: Digital Neurohardware: Principles and Perspectives, Proceedings of Neuronale Netze in der Anwendung NN’98, 101–106,Magdeburg, Germany (1998)
Koren, I.: Computer arithmetic Algorithms, Prentice Hall (1994)
Avizienis, A.: Signed-Digit Number Representation for Fast Parallel Arithmetic, IRE Trans. on Elec. Computers EC-10, 389–400 (1961)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2001 Springer-Verlag Wien
About this paper
Cite this paper
Ponca, M., Schauer, C. (2001). FPGA implementation of a Spike-Based Sound Localization System. In: Kůrková, V., Neruda, R., Kárný, M., Steele, N.C. (eds) Artificial Neural Nets and Genetic Algorithms. Springer, Vienna. https://doi.org/10.1007/978-3-7091-6230-9_52
Download citation
DOI: https://doi.org/10.1007/978-3-7091-6230-9_52
Publisher Name: Springer, Vienna
Print ISBN: 978-3-211-83651-4
Online ISBN: 978-3-7091-6230-9
eBook Packages: Springer Book Archive