Abstract
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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Yusoff, N., Grüning, A., Browne, A. (2011). Modelling the Stroop Effect: Dynamics in Inhibition of Automatic Stimuli Processing. In: Wang, R., Gu, F. (eds) Advances in Cognitive Neurodynamics (II). Springer, Dordrecht. https://doi.org/10.1007/978-90-481-9695-1_95
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DOI: https://doi.org/10.1007/978-90-481-9695-1_95
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