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Proceedings chapter
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English

Can Neural Adaptation Explain Word Choice ?

Contributors

Klinger, Jörn; Mayor, Julien

Presented at

Boston (USA), July 20-23, 2011

Published in

Carlson, L.; Hoelscher, C. & Shipley, T.F. (Ed.), Expanding the Space of Cognitive Science. Proceedings of the 33rd Annual Meeting of the Cognitive Science Society, p. 1006-1011

Publisher

Austin, TX : Cognitive Science Society

Publication date

2011

Abstract

Speakers refer to objects using terms on various levels of description. Labeling a poodle, they use the subordinate term “poodle” or the basic term “dog”. Our model attributes these effects to visual context, relying on the domain general mechanism of neural adaptation. Two SOMs represent visual and auditory categories. Word learning is modeled via simultaneous presentation of item and word form and the creation of Hebbian synapses. Neural adaptation causes a decrease of activation in repeatedly activated nodes. We predicted that as a result of this, when presented alone or alongside a distractor from another basic category, an item will be referred to by its basic term, while the presence of a distractor from the same basic category will induce a shift to the target's subordinate label. Three simulations taking into account the relative frequency of an item's basic and subordinate level labels supported this hypothesis.

Keywords

  • Self-Organizing Maps
  • Neural Adaptation
  • Language Production

UNIGE affiliation entities

Not a UNIGE publication

Citation (ISO format)

KLINGER, Jörn, MAYOR, Julien. Can Neural Adaptation Explain Word Choice ? In: Expanding the Space of Cognitive Science. Proceedings of the 33rd Annual Meeting of the Cognitive Science Society. Carlson, L.; Hoelscher, C. & Shipley, T.F. (Ed.). Boston (USA). Austin, TX : Cognitive Science Society, 2011. p. 1006–1011.

Main files (1)

Proceedings chapter

Identifiers

  • PID : unige:22690

Additional URL for this publication

http://mindmodeling.org/cogsci2011/papers/0230/paper0230.pdf

ISBN

978-0-9768318-7-7
494views
210downloads

Technical informations

Creation

29/08/2012 15:37:00

First validation

29/08/2012 15:37:00

Update

14/03/2023 17:39:54

Status update

14/03/2023 17:39:54

Last indexation

29/10/2024 20:30:24
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