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The VISSATO project investigates how cognitive control affects the speed-accuracy trade-off in visual search tasks. By employing experimental and computational modeling techniques, it aims to understand the neural mechanisms behind our ability to prioritize relevant objects in complex visual environments.
The visual environment in our daily life contains many objects, yet only a few of them are relevant for our behavior.
In recentdecades, our understanding of how we are able to find relevant objects has made substantial progress, in terms of bothbehaviour and its underlying neural basis.
This progress is mainly based on the visual search paradigm where participantsare asked to find a target object among non-target objects on a computer screen.
Despite this progress, an important aspectof visual s…
THE UNIVERSITY OF BIRMINGHAM
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