FPGA implementation of a Spike-Based Sound Localization System

  • Marek Ponca
  • Carsten Schauer


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.


Hair Cell Sound Source Interaural Time Difference FPGA Implementation Sound Channel 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Wien 2001

Authors and Affiliations

  • Marek Ponca
    • 1
  • Carsten Schauer
    • 2
  1. 1.Dept. of ElectornicsTU IlmenauGermany
  2. 2.Dept. of NeuroinformaticsTU IlmenauGermany

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