Neuroscientist interested in perception and decision-making. Rubicon Laureate at @econ_uzh.
Basel, Switzerland
Joined March 2008
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🎉 Thrilled to announce that the first project I worked on from start to finish in Zurich is now on bioRxiv! We show how risk preferences are fundamentally shaped by how we process choice variables, and how these can be measured in the parietal cortex.
biorxiv.org/content/10.1101/…
GillesdeH retweeted
📢 Preprint out! biorxiv.org/content/10.1101/…
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.
GillesdeH retweeted
Probability weighting arises from boundary repulsions of cognitive noise biorxiv.org/content/10.1101/… #biorxiv_neursci
8/ This study was a lot of fun and is a great example of how computational models can bridge behavioral and neural data, giving us deeper insights into how the brain handles decision-making.
9/ Want to dive deeper? Check out our preprint here:
biorxiv.org/content/10.1101/…
And if you're interested in using (numerical) receptive fields and Bayesian model inversion in your own work, take a look at our Python package ‘braincoder’:
braincoder-devs.github.io/
3/ Building on this, we asked: What happens when one choice option is perceived more noisily than another? For example, when it's held in working memory, or when one pays less attention?
De échte reden dat het vaak mis gaat is trouwens dat wetenschappers die p-waarden goed interpreteren veel minder vaak 'significante' resultaten vinden en dus consequent de wetenschap zijn uitgefilterd als "niet excellent genoeg" en nu iets buiten de wetenschap doen.
@EJWagenmakers , @EikoFried, @lakens wat vinden jullie hier nou van? Uiteraard mooi dat de NRC aandacht besteed aan de relevantie van statistische theorie, maar waarom gaat de uitleg aan 'de geinformeed leek' tóch eigenlijk áltijd fout?
GillesdeH retweeted
Happy to share that our paper is out in @NatureHumBehav! 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/s41562-0…
GillesdeH retweeted
🚨🚨!!! Happy to share this work combining theoretical insights from neuroscience, computer science, and economics, published in @NatureHumBehav: "Sensory perception relies on fitness-maximizing codes".
nature.com/articles/s41562-0…
1/n, Brief🧵 👇
GillesdeH retweeted
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.
GillesdeH retweeted
My new paper with Gaia Lombardi, @MicahEdelson and @Todd_A_Hare is out in @NatureHumBehav
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/s41562-0…
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!
1/n Happy to share a new pre-print! We @GillesdeH @RafaPolania, Marcus Grueschow, Michael Woodford, @ChristianCRuff show that risk aversion may not reflect a preference but a perceptual bias stemming from capacity limitations of the parietal numerosity system.
