Dr Marius Golubickis

Dr Marius Golubickis
Lecturer
- About
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Latest Publications
The power of the unexpected: Prediction errors enhance stereotype-based learning
CognitionContributions to Journals: ArticlesSelf-Prioritization Reconsidered: Scrutinizing Three Claims
Perspectives on Psychological Science, 17456916221131273Contributions to Journals: Articles- [ONLINE] DOI: https://doi.org/10.1177/17456916221131273
- Research
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Research Overview
Broadly, my research could be categorised as computational social cognition. It is a novel and increasingly influential approach that studies the computational mechanisms underpinning social biases during information processing (e.g., decision-making, attention, learning).
My research focuses primarily on the extent and origin of self-bias (e.g., biases for self-relevant information). I also have an active line of investigation exploring issues in person perception, specifically the processes that underpin stereotype-based information processing.
My work often challenges conventional discipline-specific approaches by combining well-established methodologies from social cognition, cognitive psychology, and the vision sciences to explore how various social aspects, such as self-relevance and stereotypical beliefs, guide decision-making. In addition, I utilise specialised computational modelling techniques (e.g., Drift Diffusion Modelling and its variants) to explicate the psychological processes that underpin task performance.
Research Areas
Accepting PhDs
I am currently accepting PhDs in Psychology.
Please get in touch if you would like to discuss your research ideas further.
Psychology
Accepting PhDs - Publications
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The power of the unexpected: Prediction errors enhance stereotype-based learning
CognitionContributions to Journals: ArticlesSelf-Prioritization Reconsidered: Scrutinizing Three Claims
Perspectives on Psychological Science, 17456916221131273Contributions to Journals: Articles- [ONLINE] DOI: https://doi.org/10.1177/17456916221131273