Explorations of the interaction between split processing and stimulus types

Authors:
John Hicks;Padraic Monaghan
Affiliations:
University of Edinburgh, Edinburgh, UK;University of Edinburgh, Edinburgh, UK
Venue:
Emergent neural computational architectures based on neuroscience
Year:
2001

Citing 4
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Abstract

This chapter concerns the influence of the bihemispheric structure of the brain on processing. The extent to which the hemispheres operate on different aspects of information, and the nature of integrating information between the hemispheres are vexed topics open to artificial neural network modelling. We report a series of studies of split-architecture neural networks performing visual word recognition tasks when the nature of the stimuli vary. When humans read words, the exterior letters of words have greater saliency than the interior letters. This "exterior letters effect" (ELE) is an emergent effect of our split model when processing asymmetrical (word-like) stimuli. However, we show that the ELE does not emerge if the stimuli are symmetrical, or are mixed (symmetrical and asymmetrical). The influence of split processing on task performance is inextricably linked to the nature of the stimuli, suggesting that the task determines the nature of the separable processing in the two hemispheres of the brain.