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Using biologically plausible neural models to specify the functional and neural mechanisms of visual search

Humphreys, Glyn W.; Allen, Harriet A.; Mavritsaki, Eirini

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Authors

Glyn W. Humphreys

HARRIET ALLEN H.A.Allen@nottingham.ac.uk
Professor of Lifespan Psychology

Eirini Mavritsaki



Abstract

We review research from our laboratory that attempts to pull apart the functional and neural mechanisms of visual search using converging, inter-disciplinary evidence from experimental studies with normal participants, neuropsychological studies with brain lesioned patients, functional brain imaging and computational modelling. The work suggests that search is determined by excitatory mechanisms that support the selection of target stimuli, and inhibitory mechanisms that suppress irrelevant distractors. These mechanisms operate through separable though overlapping neural circuits which can be functionally decomposed by imposing model-based analyses on brain imaging data. The chapter highlights the need for inter-disciplinary research for understanding complex cognitive processes at several levels.

Citation

Humphreys, G. W., Allen, H. A., & Mavritsaki, E. (2009). Using biologically plausible neural models to specify the functional and neural mechanisms of visual search. Progress in Brain Research, 176, https://doi.org/10.1016/S0079-6123%2809%2917609-4

Journal Article Type Article
Acceptance Date Sep 1, 2009
Publication Date Sep 4, 2009
Deposit Date Jul 27, 2017
Publicly Available Date Jul 27, 2017
Journal Progress in Brain Research
Electronic ISSN 1875-7855
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 176
DOI https://doi.org/10.1016/S0079-6123%2809%2917609-4
Keywords Visual search; Visual attention; Computational modelling; Functional brain imaging
Public URL https://nottingham-repository.worktribe.com/output/705661
Publisher URL http://www.sciencedirect.com/science/article/pii/S0079612309176094
Contract Date Jul 27, 2017

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