Competition and Cooperation in Colour-Word Stroop Effect: An Association Approach
-
1
University of Surrey, Department of Computing, United Kingdom
Interference between two competing stimuli has been extensively studied in many research areas including attention, information processing and cognitive control. For this study, both competition and cooperation of stimuli are explained by the developed Hopfield based Stroop model within the classical colour-word Stroop effect paradigm. Competition of stimuli occurs when the task is to name the colour for an incompatible colour-word and its colour (e.g. a word RED written in green), meanwhile the cooperation among stimuli can be observed when congruence (e.g. a word RED written in red) between both facilitates the response to the colour name. The Hopfield network is chosen for several reasons; we address the Stroop phenomenon as an association problem, the competition and cooperation of Stroop stimuli meets the pattern processing nature of the Hopfield network and the recall algorithm in Hopfield is biologically realistic. We have shown that, with a relatively simple but biologically plausible neural network of a single Hopfield network, our model is also able to predict the Stroop effect in comparison to the human performance.
Conference:
41st European Brain and Behaviour Society Meeting, Rhodes Island, Greece, 13 Sep - 18 Sep, 2009.
Presentation Type:
Poster Presentation
Topic:
Poster presentations
Citation:
Yusoff
N,
Gruning
A and
Browne
A
(2009). Competition and Cooperation in Colour-Word Stroop Effect: An Association Approach.
Conference Abstract:
41st European Brain and Behaviour Society Meeting.
doi: 10.3389/conf.neuro.08.2009.09.353
Copyright:
The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers.
They are made available through the Frontiers publishing platform as a service to conference organizers and presenters.
The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated.
Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed.
For Frontiers’ terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions.
Received:
15 Jun 2009;
Published Online:
15 Jun 2009.
*
Correspondence:
Nooraini Yusoff, University of Surrey, Department of Computing, Guildford, United Kingdom, n.yusoff@surrey.ac.uk