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Visual Cognition Volume 14, 2006 - Issue 4-8: Visual Search and Attention Guest Editors: Hermann Muller and Joseph Krummenacher
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Original Articles

Top-down guidance of visual search: A computational account

Dietmar Heinke Behavioural Brain Sciences Centre, University of Birmingham, Birmingham, UKCorrespondence[email protected]
,
Glyn W. Humphreys Behavioural Brain Sciences Centre, University of Birmingham, Birmingham, UK
&
Claire L. Tweed Behavioural Brain Sciences Centre, University of Birmingham, Birmingham, UK
Pages 985-1005 | Received 01 May 2006, Published online: 17 Feb 2007

Citations (9)

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Glyn W. Humphreys, John Hodsoll, Chris N. L. Olivers & Eun Young Yoon. (2006) Contributions from cognitive neuroscience to understanding functional mechanisms of visual search. Visual Cognition 14:4-8, pages 832-850.
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Articles from other publishers (8)

Linjian Li, Jing Lin, Zhen Luo & Zhejun Liu. 2022. Human Interface and the Management of Information: Visual and Information Design. Human Interface and the Management of Information: Visual and Information Design 475 488 .
Yakov Kazanovich & Roman Borisyuk. (2017) Reaction times in visual search can be explained by a simple model of neural synchronization. Neural Networks 87, pages 1-7.
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Xiaoli Fan, Qianxiang Zhou, Fang Xie & Zhongqi Liu. 2017. Advances in Human Factors in Robots and Unmanned Systems. Advances in Human Factors in Robots and Unmanned Systems 97 109 .
Antonio Fernández-Caballero, María T. López, Enrique J. Carmona & Ana E. Delgado. (2011) A historical perspective of algorithmic lateral inhibition and accumulative computation in computer vision. Neurocomputing 74:8, pages 1175-1181.
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Dietmar Heinke & Andreas Backhaus. (2010) Modelling Visual Search with the Selective Attention for Identification Model (VS-SAIM): A Novel Explanation for Visual Search Asymmetries. Cognitive Computation 3:1, pages 185-205.
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Antonio Fernández-Caballero, María T. López, Miguel A. Fernández & José M. López-Valles. 2009. Methods and Models in Artificial and Natural Computation. A Homage to Professor Mira’s Scientific Legacy. Methods and Models in Artificial and Natural Computation. A Homage to Professor Mira’s Scientific Legacy 57 66 .
José Mira, Ana E. Delgado, María T. López, Antonio Fernández-Caballero & Miguel A. Fernández. (2008) A conceptual frame with two neural mechanisms to model selective visual attention processes. Neurocomputing 71:4-6, pages 704-720.
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Dietmar Heinke, Andreas Backhaus, Yarou Sun & Glyn W. Humphreys. 2007. Attention in Cognitive Systems. Theories and Systems from an Interdisciplinary Viewpoint. Attention in Cognitive Systems. Theories and Systems from an Interdisciplinary Viewpoint 141 154 .

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