Preprint of my first project in Zurich! Great joint-venture of advanced neuroimaging and behavioral economics and a first taste of how the nature of neurocognitive representation can bias decision-making and how we can track these representations using fMRI. More to follow!

My new paper with Gaia Lombardi, Micah Edelson and Todd Hare is out in Nature Human Behaviour Take-home messages: model-free learning may not be automatic, future research on mental effort must take into account how well people understand the task. nature.com/articles/s4156…

All NeuroImage and NeuroImage:Reports editors have resigned over the high publication fee, and are starting a new non-profit journal imaging-neuroscience.org This comes with great regret, and a huge amount of thought and discussion- please read announcement to get more details.

🚨🚨!!! Happy to share this work combining theoretical insights from neuroscience, computer science, and economics, published in Nature Human Behaviour: "Sensory perception relies on fitness-maximizing codes". nature.com/articles/s4156… 1/n, Brief🧵 👇

Happy to share that our paper is out in Nature Human Behaviour! Here, we show that individuals who are more "noisy" in their magnitude perception are more likely to be risk-averse. Conversely, individuals who are accurate are likely to be risk-neutral. Link: nature.com/articles/s4156…

Probability weighting arises from boundary repulsions of cognitive noise biorxiv.org/content/10.110… #biorxiv_neursci

📢 Preprint out! biorxiv.org/content/10.110… What gives rise to probability weighting, a cornerstone of Prospect Theory? We show it comes from the natural boundedness of probabilities + cognitive noise. Adding boundaries adds multiple distortions, across risky choice & perception.