Competition improves robustness against loss of information

Competition improves robustness against loss of information

A substantial number of works have aimed at modeling the receptive field properties of the primary visual cortex (V1). Their evaluation criterion is usually the similarity of the model response properties to the recorded responses from biological organisms. However, as several algorithms were able t...

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Bibliographic Details
Main Authors: Kolankeh, Arash Kermani, Teichmann, Michael, Hamker, Fred H.
Other Authors: Frontiers Research Foundation,
Format: Article
Language:English
Published: Universitätsbibliothek Chemnitz 2015
Subjects:
Wettbewerb
Laterale Inhibition
Hebbsches Lernen
Unabhängige Komponentenanalyse
Nicht-negative Matrixzerlegung
Verdeckung
Informationsverlust
Technische Universität Chemnitz
Publikationsfonds
competition
lateral inhibition
Hebbian learning
independent component analysis
non-negative matrix factorization
predictive coding/biased competition
occlusion
information loss
Publication funds
ddc:000
ddc:500
ddc:600
Online Access:http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-166057
http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-166057
http://www.qucosa.de/fileadmin/data/qucosa/documents/16605/fncom-09-00035.pdf
http://www.qucosa.de/fileadmin/data/qucosa/documents/16605/signatur.txt.asc

Internet

http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-166057
http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-166057
http://www.qucosa.de/fileadmin/data/qucosa/documents/16605/fncom-09-00035.pdf
http://www.qucosa.de/fileadmin/data/qucosa/documents/16605/signatur.txt.asc

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