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Olfactory computation and object perception

Hopfield, J. J. (1991) Olfactory computation and object perception. Proceedings of the National Academy of Sciences of the United States of America, 88 (15). pp. 6462-6466. ISSN 0027-8424. https://resolver.caltech.edu/CaltechAUTHORS:20141210-075447431

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Abstract

Animals that are primarily dependent on olfaction must obtain a description of the spatial location and the individual odor quality of environmental odor sources through olfaction alone. The variable nature of turbulent air flow makes such a remote sensing problem solvable if the animal can make use of the information conveyed by the fluctuation with time of the mixture of odor sources. Behavioral evidence suggests that such analysis takes place. An adaptive network can solve the essential problem, isolating the quality and intensity of the components within a mixture of several individual unknown odor sources. The network structure is an idealization of olfactory bulb circuitry. The dynamics of synapse change is essential to the computation. The synaptic variables themselves contain information needed by higher processing centers. The use of the same axons to convey intensity information and quality information requires time-coding of information. Covariation defines an individual odor source (object), and this may have a parallel in vision.


Item Type:Article
Related URLs:
URLURL TypeDescription
http://dx.doi.org/10.1073/pnas.88.15.6462 DOIArticle
http://www.pnas.org/content/88/15/6462PublisherArticle
Additional Information:© 1991 National Academy of Sciences. Contributed by J. J. Hopfield, April 11, 1991. The author thanks A. Gelperin, J. F. Hopfield, and D. W. Tank for many significant discussions. This research was supported in part by the Ronald and Maxine Linde Fund. The publication costs of this article were defrayed in part by page charge payment. This article must therefore be hereby marked "advertisement" in accordance with 18 U.S.C. §1734 solely to indicate this fact.
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Funding AgencyGrant Number
Ronald and Maxine Linde FundUNSPECIFIED
Subject Keywords:neural network; learning; sensory systems
Issue or Number:15
Record Number:CaltechAUTHORS:20141210-075447431
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20141210-075447431
Official Citation:J J Hopfield Olfactory computation and object perception. PNAS 1991 88 (15) 6462-6466; doi:10.1073/pnas.88.15.6462
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:52519
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:10 Dec 2014 18:14
Last Modified:03 Oct 2019 07:43

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