Cookies on this website
We use cookies to ensure that we give you the best experience on our website. If you click 'Continue' we'll assume that you are happy to receive all cookies and you won't see this message again. Click 'Find out more' for information on how to change your cookie settings.

Edwin Dalmaijer

Early Stage Research Fellow

Investigating attention and working memory through computational modelling of behaviour and EEG.

Research Interests

My research focusses on (in)attention: how it works, how it relates to working memory, and how we can treat patients who suffer from attentional disorders.

I am particularly interested in working memory encoding, and use computational models and EEG (electroencephalography) to investigate its dynamics.

Attention is a versatile topic, and my interests are broad. With collaborators, I test neuropharmacological treatments that could improve spatial attention, which I investigate with pupillometry and visual search. In addition, I work on how attention is biased by threatening information, and the role of threat avoidance in anxiety therapy. Finally, I have a keen interest in temporal attention, and its applications in daily life (for example in racing sports and Olympic competitions).

As a part of my research, I develop software with many different applications. One example is PyGaze, a Python toolbox for quick and easy programming of eye-tracking experiments that supports a broad range of tracker types. Another example is CancellationTools, an application that allows researchers and clinicians to administer computerised cancellation tests, and to analyse their results with the click of a button. It calculates indices of attentional biases, executive functioning, search organisation, and working memory, and it produces helpful data visualisations.

If you would like to know more about programming in Python, you could consider buying my book Python for Experimental Psychologists.

True True

Key Publications


Python for Experimental Psychologists

Programming is an essential part of a researcher's job, and this book can teach you how to do it! The book is perfect for students and researchers alike, and no prior programming experience is required. For more info, see: