Abstract
We present a system consisting of a spiking cochlea chip and real-time event-based processing software that is able to discriminate between two sets of sounds based on their periodicity content. The periodicity measurements are computed from the spike timing information of asynchronous output spikes from the binaural spiking-cochlea chip. The chip consists of a matched pair of silicon cochlea with an address event interface for the output. Each section of the cochlea is modeled by a second-order low-pass filter followed by a simplified Inner Hair Cell circuit and a Spiking Neuron circuit. We show discrimination results using the periodicity measure for 2 classes of sound and preliminary localization results based on a discriminated sound. ©2009 IEEE.
Recommended Citation
T. Yu et al., "Periodicity Detection And Localization Using Spike Timing From The AER EAR," Proceedings IEEE International Symposium on Circuits and Systems, pp. 109 - 112, article no. 5117697, Institute of Electrical and Electronics Engineers, Oct 2009.
The definitive version is available at https://doi.org/10.1109/ISCAS.2009.5117697
Department(s)
Electrical and Computer Engineering
International Standard Book Number (ISBN)
978-142443828-0
International Standard Serial Number (ISSN)
0271-4310
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2025 Institute of Electrical and Electronics Engineers, All rights reserved.
Publication Date
26 Oct 2009
