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Division of labor between the hemispheres for complex but not simple tasks: An implemented connectionist model

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Monaghan, P., & Pollmann, S. (2003). Division of labor between the hemispheres for complex but not simple tasks: An implemented connectionist model. Journal of Experimental Psychology: General, 132(3), 379-399. doi:10.1037/0096-3445.132.3.379.


Cite as: http://hdl.handle.net/11858/00-001M-0000-0010-ACC3-4
Abstract
When stimuli have to be matched in a complex task (such as whether 2 letters have the same name), then performance is better when stimuli are presented across the hemispheres of the brain, whereas for simpler tasks (such as whether 2 letters have the same shape), better performance is achieved when stimuli are presented unilaterally. The authors show that this bilateral distribution advantage effect emerged spontaneously in a neural network model learning to solve simple and complex tasks with separate input layers and separate, but interconnected, resources in a hidden layer. The authors show that relating computational models to behavioral and imaging data proves fruitful for understanding hemispheric processing and generating testable hypotheses.