Model-based neuroscience

In the first week of August, I attended a summer school on model-based neuroscience at the University of Amsterdam, which focused on using Evidence Accumulation Models (EAM) in decision-making tasks. Such models are powerful tools for dissecting the processes underlying response selection and execution in humans or animals, as they capture latent factors that are otherwise difficult to observe and model directly.

The program combined theoretical lectures on (EAMs) with practical exercises in developing and fitting them. We also explored how EAMs can be integrated with other modeling frameworks, such as reinforcement learning, to provide a more compact understanding of behavior and cognition.

Given my research interests in decision-making and reinforcement learning, this experience was highly valuable. I plan to apply the knowledge gained to advance my own work. I am also looking for anyone from my fellow researchers interested in incorporating computational approaches into their projects and collaborating.

Last but not least, Amsterdam was a great city to spend a week in and I am grateful for the opportunity which was provided by SynAGE.