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As any driver or pedestrian knows, attending quickly to an important event can mean the difference between life and death. Recent lab findings indicate that the speed at which different individuals attend to important objects in a dynamic environment is a highly variable yet highly consistent trait. However, little is known about what mechanisms underlie this variability. Accordingly, little is known about the impact of differences in the speed of attention on real-world behaviour (e.g., driving, reading). This PhD project will explore the cognitive neuroscience of individual differences in the speed of attention and their effects on perception. We will do so by using behavioural, brain imaging (EEG), and eye-tracking measures. This project will suit a candidate with an interest in theoretical models of cognition, and especially suit candidates with background in attention research, programming, and using EEG.
Additional theoretical details:
This project will build on a new framework of selective attention – the diachronic account (from the Greek words for ‘through’, δια, and ‘time’, χρόνος). The diachronic account (Zivony & Eimer, 2022) suggests that attentional modulations unfold in tandem with perceptual processing. This view is different from the standard view of attention, which suggests that attentional selection splits perceptual processes to two distinct stages. At the heart of the diachronic account is the concept of attentional episodes – brief periods of intense but indiscriminate amplification to processing. The current project will build upon these theoretical innovations, and therefore, reading about the diachronic account and how it differs from standard accounts of attentional selection can inform the applicant about the nature of the project.
What is offered:
To apply, please submit the following via the online portal:
Informal inquiries are very welcome ([Email Address Removed] or @alonzivony on twitter)
Start date 1 October 2024. All applications are made online -
Research output data provided by the Research Excellence Framework (REF)
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