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A Case of Near-Optimal Sensory Integration Based on Kohonen Self-Organizing Maps
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Embedded Internet Systems Lab.
2019 (English)In: Neural Computation, ISSN 0899-7667, E-ISSN 1530-888X, Vol. 31, no 7, p. 1419-1429Article in journal (Refereed) Published
Abstract [en]

This letter shows by digital simulation that a simple rule applied to one-dimensional self-organized maps for integrating sensory perceptions from two identical sources yielding position information as integers, corrupted by independent noise sources, yields almost statistically optimal results for position estimation as determined by maximum likelihood estimation. There is no learning of the corrupting noise sources nor is any information about the statistics of the noise sources available to the integrating process. The simple rule employed yields a measure of the quality of the estimated position of the source. The letter also shows that if the Bayesian estimates, which are rational numbers, are rounded in order to comply with the stipulation that integers be identified, the Bayesian estimation will have a larger variance than the proposed integration.

Place, publisher, year, edition, pages
MIT Press, 2019. Vol. 31, no 7, p. 1419-1429
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Electronic systems
Identifiers
URN: urn:nbn:se:ltu:diva-74532DOI: 10.1162/neco_a_01200ISI: 000471704300006PubMedID: 31113302Scopus ID: 2-s2.0-85067341006OAI: oai:DiVA.org:ltu-74532DiVA, id: diva2:1324734
Note

Validerad;2019;Nivå 2;2019-07-04 (johcin)

Available from: 2019-06-14 Created: 2019-06-14 Last updated: 2019-07-10Bibliographically approved

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Gustafsson, Lennart

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