9 September 2026, by Uğur Turhan

Here are some conferences our team has attended lately.

In August, Hashim and Mrugsen attended the Cognitive Computational Neuroscience Conference in New York.

Hashim presented a poster titled ‘Sampling as a Resource-Rational Learning Mechanism’. In this work, he showed how sampling provides a unifying framework for understanding how humans learn from their experience, while also providing an account of systematic biases in behavior observed across the lifespan.

Also at the CCN, Mrugsen presented a poster on "How large language models infer people’s preferences during social interactions". In this project, he found that the models could use choice and eye-movement information to improve their inferences, but, unlike humans, they did not effectively interpret others response times. The work highlights both the potential and current limitations of LLMs in understanding human decision processes.

Via a virtual talk, Jordan presented a project to the Society for Mathematical Psychology. In the project she combines EEG, eye-tracking and computational modelling to explore the neural basis of multi-attribute decision making. The work reveals dissociable neural signatures of belief updates at both the level of attributes and options. The integrated option-level signature is predictive of choice, and the distance between two option-level representations tracks emerging preferences, reflected in lateralized premotor activity. Together, these findings support the hierarchical and integrative nature of belief updating during multi-attribute decisions.