Modelling the stroop effect: Dynamics in inhibition of automatic stimuli processing
In this study, we simulate the dynamics of suppressing an automatic stimulus processing which interferes with a different non-automatic target task. The dynamics can be observed in terms of interference and facilitation effects that influence target response processing time. For this purpose, we use...
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my.uum.repo.124922014-10-26T03:42:21Z http://repo.uum.edu.my/12492/ Modelling the stroop effect: Dynamics in inhibition of automatic stimuli processing Yusoff, Nooraini Grüning, André Browne, Antony QA76 Computer software In this study, we simulate the dynamics of suppressing an automatic stimulus processing which interferes with a different non-automatic target task. The dynamics can be observed in terms of interference and facilitation effects that influence target response processing time. For this purpose, we use Hopfield neural network with varying attention modulation in a colour-word Stroop stimuli processing paradigm. With the biologically realistic features of the network, our model is able to model the Stroop effect in comparison to the human performance. Springer Wang, Rubin Gu, Fanji 2010 Book Section PeerReviewed application/pdf en http://repo.uum.edu.my/12492/1/iccn.pdf Yusoff, Nooraini and Grüning, André and Browne, Antony (2010) Modelling the stroop effect: Dynamics in inhibition of automatic stimuli processing. In: Advances in Cognitive Neurodynamics (II). Springer, pp. 641-645. ISBN 978-90-481-9694-4 http://dx.doi.org/10.1007/978-90-481-9695-1_95 doi:10.1007/978-90-481-9695-1_95 |
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QA76 Computer software Yusoff, Nooraini Grüning, André Browne, Antony Modelling the stroop effect: Dynamics in inhibition of automatic stimuli processing |
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In this study, we simulate the dynamics of suppressing an automatic stimulus processing which interferes with a different non-automatic target task. The dynamics can be observed in terms of interference and facilitation effects that influence target response processing time. For this purpose, we use Hopfield neural network with varying attention modulation in a colour-word Stroop stimuli processing paradigm. With the biologically realistic features of the network, our model is able to model the Stroop effect in comparison to the human performance. |
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Wang, Rubin |
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Wang, Rubin Yusoff, Nooraini Grüning, André Browne, Antony |
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Book Section |
author |
Yusoff, Nooraini Grüning, André Browne, Antony |
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Yusoff, Nooraini |
title |
Modelling the stroop effect: Dynamics in inhibition of automatic stimuli processing |
title_short |
Modelling the stroop effect: Dynamics in inhibition of automatic stimuli processing |
title_full |
Modelling the stroop effect: Dynamics in inhibition of automatic stimuli processing |
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Modelling the stroop effect: Dynamics in inhibition of automatic stimuli processing |
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Modelling the stroop effect: Dynamics in inhibition of automatic stimuli processing |
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modelling the stroop effect: dynamics in inhibition of automatic stimuli processing |
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Springer |
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2010 |
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http://repo.uum.edu.my/12492/1/iccn.pdf http://repo.uum.edu.my/12492/ http://dx.doi.org/10.1007/978-90-481-9695-1_95 |
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