Published 1990
| Version public
Book Section - Chapter
A Silicon Model of Auditory Localization
Creators
Contributors
Abstract
The principles of organization of neural systems arose from the combination of the performance requirements for survival and the physics of neural elements. From this perspective, the extraction of time-domain information from auditory data is a challenging computation; the system must detect changes in the data which occur in tens of microseconds, using neurons which can fire only once per several milliseconds. Neural approaches to this problem succeed by closely coupling algorithms and implementation, unlike standard engineering practice, which aims to define algorithms that are easily abstracted from hardware implementation.
Additional Information
© 1988 MIT Press. This chapter was originally published as "A Silicon Model of Auditory Localization" in Neural Compurorion, 1,1. We wish to thank M. Konishi and his entire research group, in particular S. Volrnan, I. Fujita, and L. Proctor, for critically reading and correcting the manuscript, and for consultation throughout the project. In addition, we wish to thank D. Lyon. M. Mahowald, T. Delbruck, L. Dupre, J. Tanaka, and D. Gillespie for critically reading and correcting the manuscript, and for consultation throughout the project. D. Gillespie and D. Speck aided in writing software to generate stimuli. We wish to thank Hewlett-Packard for computing support, and DARPA and MOSIS for chip fabrication. This work was sponsored by the Office of Naval Research.Additional details
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- Eprint ID
- 53492
- Resolver ID
- CaltechAUTHORS:20150109-124214444
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- http://resolver.caltech.edu/CaltechAUTHORS:LAZnc89 (URL)
Funding
- Office of Naval Research (ONR)
Dates
- Created
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2015-01-09Created from EPrint's datestamp field
- Updated
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2019-10-03Created from EPrint's last_modified field