K3: Feature-based Attention in Health and Disease | Zendy

Jason B. Mattingley | Zendy

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K3: Feature-based Attention in Health and Disease

Author(s) -

Jason B. Mattingley

Publication year - 2012

Publication title -

i-perception

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.64

H-Index - 26

ISSN - 2041-6695

DOI - 10.1068/if567

Subject(s) - feature (linguistics) , neuroscience , feature selection , disease , sensory system , computer science , psychology , selection (genetic algorithm) , cognitive psychology , artificial intelligence , medicine , pathology , philosophy , linguistics

Mechanisms of attention are crucial for prioritizing sensory inputs that are currently relevant for guiding behavior. Much recent work has focused on how the human visual system selects subsets of stimuli based upon elementary features such as color. I will review recent work in which we have used novel behavioral tasks, combined with non-invasive imaging and stimulation techniques, to investigate feature-based selection processes in the healthy brain and in patients with central and peripheral visual dysfunction

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