Binding - a proposed experiment and a model

  • The binding problem is regarded as one of today's key questions about brain function. Several solutions have been proposed, yet the issue is still controversial. The goal of this article is twofold. Firstly, we propose a new experimental paradigm requiring feature binding, the "delayed binding response task". Secondly, we propose a binding mechanism employing fast reversible synaptic plasticity to express the binding between concepts. We discuss the experimental predictions of our model for the delayed binding response task.

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Metadaten
Author:Jochen TrieschORCiD, Christoph von der Malsburg
URN:urn:nbn:de:hebis:30-20431
URL:http://cogprints.org/56/2/ICANN96reprint.ps
DOI:https://doi.org/10.1007/3-540-61510-5_116
ISBN:978-3-540-61510-1
ISBN:3-540-61510-5
ISBN:978-3-540-68684-2
Parent Title (English):auch in: Christoph von der Malsburg ; Werner von Seelen ; Jan C. Vorbrüggen ; Bernhard Sendhoff (Hrsg.): Artificial neural networks : 6th international conference ; proceedings (Lecture notes in computer science ; Vol. 1112)
Publisher:Springer
Place of publication:Berlin ; Heidelberg ; Singapore ; Tokyo ; New York ; Barcelona ; Budapest ; Hong Kong ; London ; Milan ; Paris ; Santa Clara
Editor:Christoph von der Malsburg, Werner von Seelen, Jan C. Vorbrüggen, Bernhard Sendhoff
Document Type:Part of a Book
Language:English
Date of Publication (online):2005/11/07
Year of first Publication:1996
Publishing Institution:Universitätsbibliothek Johann Christian Senckenberg
Contributing Corporation:ICANN (Veranstaltung (6 : 1996 : Bochum)
Release Date:2005/11/07
Page Number:6
Note:
Auch in: Christoph von der Malsburg ; Werner von Seelen ; Jan C. Vorbrüggen ; Bernhard Sendhoff (Hrsg.): Artificial neural networks : 6th international conference ; proceedings (Lecture notes in computer science ; Vol. 1112); Berlin ; Heidelberg ; Singapore ; Tokyo ; New York ; Barcelona ; Budapest ; Hong Kong ; London ; Milan ; Paris ; Santa Clara : Springer, 1996, S. 685-690, ISBN: 978-3-540-61510-1, ISBN: 3-540-61510-5, ISBN: 978-3-540-68684-2
Source:In: Proceedings of the International Conference on Artificial Neural Networks (ICANN), Bochum, Lecture Notes in Computer Science 1112, Springer, 1996
HeBIS-PPN:224790587
Institutes:Physik / Physik
Wissenschaftliche Zentren und koordinierte Programme / Frankfurt Institute for Advanced Studies (FIAS)
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Licence (German):License LogoDeutsches Urheberrecht

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