Cookies on this website

We use cookies to ensure that we give you the best experience on our website. If you click 'Accept all cookies' we'll assume that you are happy to receive all cookies and you won't see this message again. If you click 'Reject all non-essential cookies' only necessary cookies providing core functionality such as security, network management, and accessibility will be enabled. Click 'Find out more' for information on how to change your cookie settings.

Accept all cookies Reject all non-essential cookies

Contact information


nicholas.yeung@psy.ox.ac.uk


+44 (0)1865 271389


http://www.psy.ox.ac.uk/research/attention-cognitive-control-lab/

Nick Yeung

BA (Hons) PhD

Professor of Cognitive Neuroscience

  • Tutorial Fellow, University College

Cognitive and neural basis of human learning, memory and attention

Research Summary

My research investigates the cognitive and brain mechanisms of human attention, memory, and decision making.

A major focus of my current research is how people evaluate their choices and decisions: People are often aware of their own mistakes even without feedback, and may be more or less confident in choices they have made. I am interested in the computational and neural basis of these evaluations, their reliability, and their uses in guiding people’s decisions and learning.

Another longstanding interest of mine is how people focus on a particular task and switch flexibly between different tasks as required. For example, projects in my lab have shown that practice can have surprisingly limited effects on the ability to switch between tasks, and that EEG ‘brainwaves’ can be used to reliably identify periods of mind wandering and distraction during extended task performance.

My group conducts basic lab science, and also explores potential applications of our findings. For example, our research is relevant to clinical issues in mental health—we are currently testing whether problems with attention predict outcomes in patients with depression. Our findings also have novel practical applications—we are using our EEG measures of attention to build devices that can help people avoid drifting off-task (e.g., during driving).

Key publications

Recent publications

More publications