Cognitive modelling of attentional networks: efficiencies, interactions, impairments and development
PhD thesis
Hussain, F. 2010. Cognitive modelling of attentional networks: efficiencies, interactions, impairments and development. PhD thesis University of Sussex Computing and Engineering
Type | PhD thesis |
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Title | Cognitive modelling of attentional networks: efficiencies, interactions, impairments and development |
Authors | Hussain, F. |
Abstract | According to the attention network theory, attention is viewed as an organ system comprising specialised networks that carry out functions of alerting, orienting and executive control. The Attention Network Test (ANT) is a simple and popular experiment that measures the efficiencies and interactions of these three subcomponents of attention in a single task, and has been used for adults, children and attention deficit patients. In this thesis, cognitive modelling is used as a research tool to simulate the performance of subjects on the ANT, as well as variations of the ANT using ACT-R 6.0 cognitive architecture. All models are validated against human data using various goodness-of-fit criteria at multiple measures of the latency, accuracy and efficiency of the three networks. |
Sustainable Development Goals | 9 Industry, innovation and infrastructure |
Middlesex University Theme | Health & Wellbeing |
Department name | Computing and Engineering |
Institution name | University of Sussex |
Publication dates | |
Online | 01 Jan 2010 |
Publication process dates | |
Deposited | 08 Sep 2022 |
Accepted | 01 Jan 2010 |
Output status | Published |
Web address (URL) | http://sro.sussex.ac.uk/id/eprint/6270/ |
Language | English |
https://repository.mdx.ac.uk/item/89y5y
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