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

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

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