Bertalan Polner

Fascinating! Congrats, Tamás!

Discovering cognitive strategies with tiny recurrent neural networks - Nature Modelling biological decision-making with tiny recurrent neural networks enables more accurate predictions of animal choices than classical cognitive models and offers insights into the underlying cog...

Thrilled to see our TinyRNN paper in @nature! We show how tiny RNNs predict choices of individual subjects accurately while staying fully interpretable. This approach can transform how we model cognitive processes in both healthy and disordered decisions. doi.org/10.1038/s415...

AI, peer review and the human activity of science When researchers cede their scientific judgement to machines, we lose something important.

A few months ago, Nature published how-to guide for using ChatGPT to write your peer reviews in 30 minutes.

This is, of course, a horrible idea. Here’s my response with @jbakcoleman.bsky.social .

Number 52 it is ;)

What a great pleasure to be back in Leuven and hear about amazing research at the #saa2025 ! If you are interested in Pavlovian biases vs. regulating mood with fun activities and rumination under stress, please come by our poster this afternoon - w/ Hanneke den Ouden and @leventeronai.bsky.social

@leventeronai.bsky.social made it to bsky in the meantime !

New ESM study out in J Pers! 👀 We show that disorganized schizotypy specifically predicts both psychotic- and stress-reactivity in response to social, economic, and health-related stressors - thanks a lot Levente Rónai, Flóra Hann, and Szabolcs Kéri onlinelibrary.wiley.com/doi/full/10....

I can totally second that! This is such an interesting and relevant study, congratulations. We were trying to wrap our head around this issue for a measure of stressor exposure in an esm study and arrived at quite similar conclusions. Great to see this written up so neatly!

Wow, congratulations!

I see, thanks a lot for the response!

What is reflected in the cross-sectional correlation? How does it relate to associations at the level of stable individual differences vs. correlations within individuals over time? It really depends! And it's hard to know without intensive longitudinal data.

www.tandfonline.com/doi/full/10....

Looks fascinating! Quick question (without having thoroughly read the paper): how does this align with the optimism bias literature?

Very happy that this preprint (I'm 2nd author & taking over for the bluesky-less Vanessa Scholz) is finally out!
In a large online sample, we investigated how Pavlovian/motivational biases are associated with psychiatric symptom dimensions (as first defined by Claire Gillan)..
osf.io/preprints/ps...

Fascinating!!! The link does not seem to work for me though and could not find your preprint with google (scholar) neither

The present and future of peer review: Ideas, interventions, and evidence
www.pnas.org/doi/10.1073/...

PhD Position: Neural Mechanisms of Imagery and Perception at the Donders Centre for Cognition | Radboud University Do you want to work as a PhD Position: Neural Mechanisms of Imagery and Perception at the Donders Centre for Cognition at the Faculty of Social Sciences? Check our vacancy!

A PhD position is open in @peelen.bsky.social Lab at the Donders Institute - please spread the word and consider applying if you are interested about how imagery and perception relate to each other www.ru.nl/en/working-a... - plus we are fun people to work with ! :)

Quite a few studies show attractive integration between perception and imagery/VWM such that e.g. imagining a left-tilted grating makes a perceived grating seem more left-tilted. Does anybody know of any studies showing repulsion? I.e. making the perceived grating seem more right-tilted?

English-speaking readers, this one is worth your time:

A great causal inference reading list!

And I'd also consider the overall compliance in your study and the % of the observations in question - does it make any difference in the end? If there's a lot of them, what bias could be introduced by throwing them away, and are you fine with that?

I see! Let's assume these are occasions when nothing bad happened and they just want to indicate that by picking the lowest value. I'd guess such occasions would provide sort of a baseline - maybe you meant this by using them as a neutral?

Ahh of course, it might be careless responding as well! Could it interesting to see then if there's any pattern

Those higher answers seem a bit more puzzling to me. maybe they're just reporting their general level of feeling bad - do these correlate strongly with momentary affect levels? Or maybe they don't report the impact of the worst recent event but of some other (non-worst, non-recent) event?

I see, thanks for explaining! Might the floor responses mean that they were looking for an option to kind of "opt out" and this was the best they could come up with (especially if they thought they cannot skil that item)?

Such an interesting question! What were the instructions for the emotion ratings, and what's your assumption about how people interpret these items if no worst event happened?

Fascinating work on controllability estimation in social contexts

Super cool stuff! Congratulations

Resources, costs and long-term value: an integrative perspective on serotonin and meta-decision making Serotonin has been associated with a wide range of neural computations and behaviours, yet an overarching function of this neurotransmitter has been h…

So, here we go: hello Bluesky! Reposting the last one from my Twitter. Looking forward to connecting!

Resources, costs and long-term value: an integrative perspective on serotonin and meta-decision making - new article out! Much enjoyed writing this together www.sciencedirect.com/science/arti...