CORDIS Project
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This research explores how humans adapt their eye movement strategies in response to visual stimuli in noisy environments. By using eye-tracking experiments, it aims to understand the integration of task-specific and sensory information in planning eye movements.
Optimal performance in a noisy and ambiguous environment requires that the human brain performs computations that are adapted to these conditions.
Cognitive neuroscience has seen a major progress by applying Bayesian decision theory to explain human behaviour when humans were confronted with tasks where perception or behavioural outcomes were uncertain.
In addition to these advancements, machine learning methods were successfully developed for handling noisy and incomplete datasets.
In this rese…
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