Holub, Alex and Laurent, Gilles and Perona, Pietro (2003) A Digital Antennal Lobe for Pattern Equalization: Analysis and Design. In: Advances in Neural Information Processing Systems 15 (NIPS 2002). Advances in Neural Information Processing Systems. No.15. MIT Press , Cambridge, MA, pp. 245-252. ISBN 0-262-02550-7. https://resolver.caltech.edu/CaltechAUTHORS:20160229-163959280
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Abstract
Re-mapping patterns in order to equalize their distribution may greatly simplify both the structure and the training of classifiers. Here, the properties of one such map obtained by running a few steps of discrete-time dynamical system are explored. The system is called 'Digital Antennal Lobe' (DAL) because it is inspired by recent studies of the antennallobe, a structure in the olfactory system of the grasshopper. The pattern-spreading properties of the DAL as well as its average behavior as a function of its (few) design parameters are analyzed by extending previous results of Van Vreeswijk and Sompolinsky. Furthermore, a technique for adapting the parameters of the initial design in order to obtain opportune noise-rejection behavior is suggested. Our results are demonstrated with a number of simulations.
Item Type: | Book Section | ||||||
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Additional Information: | © 2003 Massachusetts Institute of Technology. We would like to thank Or Neeman for useful suggestions and feedback. This work was supported in part by the Engineering Research Centers Program of the National Science Foundation under Award Number EEC-9402726. | ||||||
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Series Name: | Advances in Neural Information Processing Systems | ||||||
Issue or Number: | 15 | ||||||
Record Number: | CaltechAUTHORS:20160229-163959280 | ||||||
Persistent URL: | https://resolver.caltech.edu/CaltechAUTHORS:20160229-163959280 | ||||||
Usage Policy: | No commercial reproduction, distribution, display or performance rights in this work are provided. | ||||||
ID Code: | 64881 | ||||||
Collection: | CaltechAUTHORS | ||||||
Deposited By: | INVALID USER | ||||||
Deposited On: | 09 Mar 2016 23:17 | ||||||
Last Modified: | 03 Oct 2019 09:41 |
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