Objective
Visual search is a common task in our everyday life. We search for our child in a crowd at school, or a chocolate bar out of several different brands at the supermarket. The ease of the search depends on how distinguishable the target is from the background or how different it is from other surrounding objects. Attention can improve our search if drawn to the vicinity of the target. Visual search, attention, and the neuronal circuitry underlying these processes are currently a very dynamic field in human psychophysics. But to understand the minimum neuronal hardware necessary to solve such tasks, we here turn to an animal that is rapidly becoming a model for analysing how simple nervous systems solve complex cognitive tasks: the bumblebee.
Interestingly, the common tests run by psychologists often seem more appropriate to a bee's world than to a human's. Commonly, subjects are asked to search a display for one or several defined targets (e.g. a small yellow square). The targets are commonly mixed with other stimuli (distractors), which differ from those the subject is asked to search for. Targets may differ from distractors in one stimulus dimension only (such as color), or they may differ in several dimensions (such as color and shape). Performance of subjects is evaluated in terms of reaction time and accuracy, and in terms of individual strategy used to optimize the speed-accuracy tradeoff.
We will use a novel technique, the virtual bee meadow, to ask a range of questions dealing with visual search and attention in bumblebees. How do searches vary if the targets and distractors differ in more than one dimension? How does attention affect the perception of 'irrelevant’ details? How do bees cope with multiple visual targets? Is attention more influenced by the nature of the stimuli or by mental processes in the bee's brain?
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences biological sciences neurobiology
- social sciences psychology cognitive psychology mental processes
- engineering and technology materials engineering colors
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
FP7-PEOPLE-2009-IIF
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Funding Scheme
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Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Coordinator
E1 4NS LONDON
United Kingdom
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.