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 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.
Neurodynamics Automatic processing Stroop effect Hopfield neural network
Nooraini Yusoff Andre Gruning Antony Browne
Department of Computing, Faculty of Engineering and Physical Sciences, University of Surrey,GU2 7XH Surrey, UK
国际会议
The Second International Conference on Cognitive Neurodynamics--2009(第二届国际认知神经动力学会议)
杭州
英文
641-646
2009-11-15（万方平台首次上网日期，不代表论文的发表时间）