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- W67510676 abstract "According to the attention network theory, attention is viewed as an organ systemcomprising specialised networks that carry out functions of alerting, orienting andexecutive control. The Attention Network Test (ANT) is a simple and popularexperiment that measures the efficiencies and interactions of these three subcomponentsof attention in a single task, and has been used for adults, children andattention deficit patients. In this thesis, cognitive modelling is used as a research tool tosimulate the performance of subjects on the ANT, as well as variations of the ANTusing ACT-R 6.0 cognitive architecture. All models are validated against human datausing various goodness-of-fit criteria at multiple measures of the latency, accuracy andefficiency of the three networks.Once the simulation of healthy human performance on the ANT is established,modifications inspired by psychology literature are made to simulate the performance onANT by children and patients affected with Alzheimer‘s disease (AD) and mildtraumatic brain injury (mTBI). The implementation of networks, their interactions andimpairments in the models are shown to be theoretically grounded. Based on thesimulation results and the understanding gained through model processes, a number ofnovel predictions are made, behaviour of the networks and a few discrepancies in humandata are explained. The model predicts that in the case of Alzheimer‘s disease, theorienting network may be impaired and cueing may have a positive effect on conflictresolution. Also, in the case of mTBI, it was predicted that the validity effect may beimpaired only in the earlier weeks after the injury. For children, a possible relationshipbetween processing speed and mechanism of inhibitory control is predicted. It is positedthat there is not always a 'global clock' that controls processing speed and furtherdifferent processes may be running with different processing times." @default.
- W67510676 created "2016-06-24" @default.
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- W67510676 date "2010-11-16" @default.
- W67510676 modified "2023-09-27" @default.
- W67510676 title "Cognitive modelling of attentional networks : efficiencies, interactions, impairments and development" @default.
- W67510676 hasPublicationYear "2010" @default.
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