Modelling the efficiencies and interactions of attentional networks

Conference paper

Hussain, F. and Wood, S. 2009. Modelling the efficiencies and interactions of attentional networks. International Workshop on Attention in Cognitive Systems. Greece 12 May 2008 Berlin, Heidelberg Springer. pp. 139-152 https://doi.org/10.1007/978-3-642-00582-4_11
TypeConference paper
TitleModelling the efficiencies and interactions of attentional networks
AuthorsHussain, F. and Wood, S.
Abstract

Posner and colleagues 38,40 assert that attention comprises three distinct anatomical areas of the brain responsible for separate aspects of attention, namely alerting, orienting and executive control. Based on this view of attention, the work presented here computationally models the attentional networks task (ANT) which can be used to assess the efficiency and interactions of these disparate networks, collectively responsible for different functions related to attention mechanisms. The present research builds upon the model of ANT to show the modulation effects of one network on the other and suggests how the model can be used to simulate neglect conditions related to attention. The model is evaluated against data sets from experimental studies and the model's fit to data is assessed statistically. Building such models of attention benefits computer vision research, as they are, well informed from both cognitive psychology and neuroscience perspectives.

Sustainable Development Goals3 Good health and well-being
Middlesex University ThemeHealth & Wellbeing
ConferenceInternational Workshop on Attention in Cognitive Systems
Page range139-152
Proceedings TitleAttention in Cognitive Systems: International Workshop on Attention in Cognitive Systems, WAPCV 2008 Fira, Santorini, Greece, May 12, 2008, Revised Selected Papers
SeriesLecture Notes in Computer Science
ISSN0302-9743
Electronic1611-3349
ISBN
Paperback9783642005817
Electronic9783642005824
PublisherSpringer
Place of publicationBerlin, Heidelberg
Publication dates
Print01 Jan 2009
Publication process dates
Deposited05 Sep 2022
Accepted01 Jan 2008
Output statusPublished
Digital Object Identifier (DOI)https://doi.org/10.1007/978-3-642-00582-4_11
Scopus EID2-s2.0-63449100476
Web of Science identifierWOS:000266434900011
LanguageEnglish
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