Abstract
This paper presents an electronic system that extracts the periodicity of a sound. It uses three analogue VLSI building blocks: a silicon cochlea, two inner-hair-cell circuits and two spiking neuron chips. The silicon cochlea consists of a cascade of filter sections that filter the input sound. The system uses correlation between two spike trains created from different outputs of the silicon cochlea to obtain very selective filters, i.e., filters that respond only to a very narrow range of periodicities, but that at the same time still respond quickly. This is an advantage over traditional band-pass filters, where an increase in selectivity has to be traded off against a decrease in response time.
| Original language | English |
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| Title of host publication | ICONIP 1999, 6th International Conference on Neural Information Processing - Proceedings |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 107-112 |
| Number of pages | 6 |
| ISBN (Electronic) | 0780358716, 9780780358713 |
| DOIs | |
| Publication status | Published - 1999 |
| Externally published | Yes |
| Event | 6th International Conference on Neural Information Processing, ICONIP 1999 - Perth, Australia Duration: 16 Nov 1999 → 20 Nov 1999 |
Publication series
| Name | ICONIP 1999, 6th International Conference on Neural Information Processing - Proceedings |
|---|---|
| Volume | 1 |
Conference
| Conference | 6th International Conference on Neural Information Processing, ICONIP 1999 |
|---|---|
| Country/Territory | Australia |
| City | Perth |
| Period | 16/11/99 → 20/11/99 |
Bibliographical note
Publisher Copyright:© 1999 IEEE.