Francisco Garre-Frutos

Correcting for Unequal Variance in Signal Detection Models Using Response Time This study examines signal detection theory (SDT) analysis of perceptual detection performance using response time (RT) data. A defining feature of detection tasks is the asymmetry between trials with...

www.cell.com/iscience/ful...

Misspecified models create the appearance of adaptive control during value-based choice - Communications Psychology In a new computational analysis of previous work, this study shows that a control-free mechanism better accounts for value-based decisions than an account that assumes top-down control invigorating th...

New publication from Dr. Harrison Ritz! Published in Nature's Communications Psychology, this work challenges existing models of adaptive control in decision-making, revealing how misspecified models can create misleading findings. Important methodological insights
www.nature.com/articles/s44...

Happy birthday to one of my favourite haters, Charles Darwin

BAMB! 2026 | Barcelona Summer School for Advanced Modeling of Behavior Intensive training for experienced researchers in cognitive science, computational neuroscience and neuro-AI. Five interconnected modules, expert faculty, hands-on projects. July 12-23, 2026.

Applications for BAMB! 2026 are officially open!

Join us in Barcelona (July 12–23) to master the art of behavioral modeling with our incredible faculty:

@meganakpeters.bsky.social
@marcelomattar.bsky.social
@khamascience.bsky.social
@thecharleywu.bsky.social

Apply now here: www.bambschool.org

Building compositional tasks with shared neural subspaces - Nature The brain can flexibly perform multiple tasks by compositionally combining task-relevant neural representations.

This is cool. Complex behavior is built from subcomponents.
Building compositional tasks with shared neural subspaces
www.nature.com/articles/s41...
#neuroscience

Two rejects in a row. What a week...

Excited to share our new preprint! A massive (~400k trials) multi-site effort to test "subjective inflation," the influential but under-tested idea that subjective experience in the unattended periphery can be inflated beyond what objective performance would suggest
www.biorxiv.org/content/10.1...

Reliability of LLMs as medical assistants for the general public: a randomized preregistered study - Nature Medicine In a randomized controlled study involving 1,298 participants from a general sample, performance of humans when assisted by a large language model (LLM) was sensibly inferior to that of the LLM alone ...

LLMs good performance on medical exams does not translate to accurate performance in real-world settings (preregistered n~1,300 study). This can't be explained by current standard benchmarks for medical knowledge & simulated patient interactions.

www.nature.com/articles/s41...

@wicseurope.bsky.social event for women’s month is out!

Join us on if you’re drawn to computational ways of thinking about the mind.

🗓️ 23 February 2026
⏰ 13:00-14:30 (CET)

More info & free registration here:
shorturl.at/Jqm4M

I don't know what annoys me more: 'Data upon request' or raw data shared in a format that makes reproducibility nearly impossible. At least the former doesn't waste your time 🫠

as I'm revising my course materials, I keep stumbling upon cool @mc-stan.org developments.

Current favorites:
1. your model has funnels and you exhausted reparametrization ideas: metric = "dense_e" makes your HMC learn about covariance btw parameters. Sloooow, but effective!
1/

It would be cool to include other arxivs such as psy or metaArXiv :)

Check out this tool to get paper recommendations everyday from arxiv and biorxiv, very simple but effective! www.ggrxiv.com

What’s a multiverse good for anyway? Julia M. Rohrer, Jessica Hullman, and Andrew Gelman Multiverse analysis has become a fairly popular approach, as indicated by the present special issue on the matter. Here, we take one step back and ask why one would conduct a multiverse analysis in the first place. We discuss various ways in which a multiverse may be employed – as a tool for reflection and critique, as a persuasive tool, as a serious inferential tool – as well as potential problems that arise depending on the specific purpose. For example, it fails as a persuasive tool when researchers disagree about which variations should be included in the analysis, and it fails as a serious inferential tool when the included analyses do not target a coherent estimand. Then, we take yet another step back and ask what the multiverse discourse has been good for and whether any broader lessons can be drawn. Ultimately, we conclude that the multiverse does remain a valuable tool; however, we urge against taking it too seriously.

New preprint! So, what's a multiverse analysis good for anyway?>

With @jessicahullman.bsky.social and @statmodeling.bsky.social

juliarohrer.com/wp-content/u...

A framework for assessing the trustworthiness of scientific research findings1 | PNAS Vigorous debate has erupted over the trustworthiness of scientific research findings in a number of domains. The question “what makes research find...

Our new paper, with colleagues from the Strategic Council of the National Academies, offers an integrative framework of the several components that contribute to making research findings trustworthy including ethics, methodology, transparency, inclusion, assessment, etc

www.pnas.org/doi/10.1073/...

Very useful thread outlining a valuable critique of mainstream psychology’s “is there *anything* to be said for another set of rigid guidelines?” approach to its methodological problems.

Yesterday, I successfully defended my PhD dissertation and became Dr. Solana! 😳

Many thanks to all the lovely people who supported me in such a special day and through these 4 years of hard work 💜

Bayesians Commit the Gambler's Fallacy The gambler's fallacy is the tendency to expect random processes to switch more often than they actually do—for example, to assign a higher probability to heads after a streak of tails. It's often ta...

Great paper giving a rational explanation for the gambler's "fallacy".

What is the brain for? Active inference is widely discussed as a unifying framework for understanding brain function, yet its empirical status remains debated. Our review identifies core predictions across the action-perception cycle and evaluates their empirical support: osf.io/preprints/ps...

Why Risk it, When You Can {rix} it: A Tutorial for Computational Reproducibility Focused on Simulation Studies

May be of interest to the reproducibility folks: New tutorial on computational reproducibility for simulation studies just dropped! felipelfv.github.io/Why-risk-it-...

by @felipefv.bsky.social, Jason Geller & @brodriguesco.bsky.social

Confusion in gaming disorder measurement Abstract. Measurement is important for the scientific programmes of addictive behaviours. In the present study, we investigated the measurement of gaming d

First post of the year, new paper out today: we present possibly the biggest case of systematic Measurement Schmeasurement in tech use. It seems that most studies on gaming (videogame) addiction/disorder haven't measured gaming after all. This research took years, so long 🧵 doi.org/10.1098/rsos...

Introducing Causion: A web app for playing with DAGs | Peder M. Isager Personal website of Dr. Peder M. Isager

New blog post introducing Causion - a web app for causal inference teaching and learning: pedermisager.org/blog/causion....

Do goal-directed actions minimize prediction error? Together with @haslagter.bsky.social and @fahrenfort.bsky.social I identified falsifiable predictions of active inference and reviewed the extent to which they are supported by empirical results. Read the preprint here: tinyurl.com/2by8k3h6

My first PhD work is now out as a pre-print! 💫

Reluctant to ReLU: Uncontrolled Connectivity Pruning Underlying Trainable Excitatory-Inhibitory Recurrent Neural Networks (with @mavadillo.bsky.social )

We dive into an issue in a neural circuits framework...

Episodic memory facilitates flexible decision-making via access to detailed events - Nature Human Behaviour Nicholas and Mattar found that people use episodic memory to make decisions when it is unclear what will be needed in the future. These findings reveal how the rich representational capacity of episod...

Our experiences have countless details, and it can be hard to know which matter.

How can we behave effectively in the future when, right now, we don't know what we'll need?

Out today in @nathumbehav.nature.com , @marcelomattar.bsky.social and I find that people solve this by using episodic memory.

The Iowa Gambling Task is an extreme example of Jingle Fallacy and schmeasurement.

In 100 articles we found 244 different ways of scoring it, 177 were never reused. Correlations between them range -.99 to .99.

At the same time, we show meta-analyses combine these results as if they’re equivalent.

RegCheck RegCheck is an AI tool to compare preregistrations with papers instantly.

Comparing registrations to published papers is essential to research integrity - and almost no one does it routinely because it's slow, messy, and time-demanding.

RegCheck was built to help make this process easier.

Today, we launch RegCheck V2.

🧵

regcheck.app

Reluctant to ReLU: Uncontrolled Connectivity Pruning Underlying Trainable Excitatory-Inhibitory Recurrent Neural Networks: https://osf.io/9uzhq

I'm thrilled to be part of this multisite registered report replicating the unconscious working memory effect! This is how science should be done.

Replicating the unconscious working memory effect: a multisite Registered Report Abstract. Although in recent years some studies have found evidence suggesting that working memory (WM) may operate on unconscious perceptual contents, dec

So happy this is finally out, almost 4 years in the making!
academic.oup.com/nc/article/2...

A celebration of open and collaborative science:
📜Replicating the unconscious working memory effect: a multisite Registered Report

Thank you so much to the 48 coauthors of the uWM project!🇬🇦