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  Modeling Structure and Dynamics of Selective Attention

Schrobsdorff, H., Ihrke, M., & Herrmann, J. M. (2013). Modeling Structure and Dynamics of Selective Attention. In A. Chella, R. Pirrone, R. Sorbello, & K. R. Jóhannsdóttir (Eds.), Biologically Inspired Cognitive Architectures 2012 (pp. 287-295). Berlin Heidelberg: Springer Berlin Heidelberg.

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 Creators:
Schrobsdorff, Hecke1, Author           
Ihrke, Matthias2, Author           
Herrmann, J. Michael2, Author           
Affiliations:
1Max Planck Research Group Emerging Complexity in Physical Systems, Max Planck Institute for Dynamics and Self-Organization, Max Planck Society, ou_2063294              
2Department of Nonlinear Dynamics, Max Planck Institute for Dynamics and Self-Organization, Max Planck Society, ou_2063286              

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 Abstract: We present a cognitive architecture that includes perception, memory, attention, decision making, and action. The model is formulated in terms of an abstract dynamics for the activations of features, their binding into object entities, semantic categorization as well as related memories and appropriate reactions. The dynamical variables interact in a connectionist network which is shown to be adaptable to a variety of experimental paradigms. We find that selective attention can be modeled by means of inhibitory processes and by a threshold dynamics. The model is applied to the problem of disambiguating a number of theories for negative priming, an effect that is studied in connection to selective attention.

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Language(s): eng - English
 Dates: 2013
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: eDoc: 634518
DOI: 10.1007/978-3-642-34274-5_50
 Degree: -

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Title: Biologically Inspired Cognitive Architectures 2012
Source Genre: Book
 Creator(s):
Chella, Antonio, Editor
Pirrone, Roberto, Editor
Sorbello, Rosario, Editor
Jóhannsdóttir, Kamilla Rún, Editor
Affiliations:
-
Publ. Info: Berlin Heidelberg : Springer Berlin Heidelberg
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 287 - 295 Identifier: -