New job, new (cool) website! fgarrefrutos.com

Hi everyone! I just shared the video of my PhD defence: youtube.com/watch?v=yAba50zL2Kc&hl=en&cc_lang_pref=en&cc_load_policy=1 and also the slides and the dissertation (osf.io/kwymn), in case someone is interested. Thank you again to everyone who contributed that day to making me immensely happy🤍

My past few weeks were @psychscience.bsky.social in Barcelona, @improvingpsych.org in DC, and examining @aliciafrancomnez.bsky.social's amazing PhD thesis, followed by some much needed relaxation camping and hiking in northern Portugal. Feeling lucky and hopeful about the future of psychology! 🤞✨

Goals remap values and not choices: https://osf.io/74mcw

Disinformation elicits learning biases elifesciences.org/articles/106...

SIPS community members worked through the years to develop many resources that help to improve psychological sciences. We gathered them all, so you can find everything you need in one place. buff.ly/QIX07s3

📣 Thrilled to share our recent work in @natneuro.nature.com. Using direct recordings from the human hippocampus and visual cortex, we asked how the brain prepares to encode information when upcoming events are unpredictable, and what ripples do in that process. www.nature.com/articles/s41...

📢 New #INMINDS interview with @trisbek.bsky.social (U of Cambridge) on neurophenomenology, altered states, and the use of the ‘Temporal Experience Tracing’ technique within and beyond the lab. Out in @cienciacog.bsky.social. English version: www.cienciacognitiva.org?p=2665 (1/2)

💯 "Just because a model correlates with neural and behavioral data, it is not sufficient for us to infer that the model is performing cognition: correlation does not imply cognition." doi.org/10.1007/s421...

What if much of human thought is navigation? 🧠 New open-access review: I argue that the DMN + hippocampal–entorhinal system form a domain-general engine for "mental navigation" across physical and abstract spaces (e.g. social, conceptual, and value). www.sciencedirect.com/science/arti...

Center For Open Science (@cos.io) Introduces ReplicatorBench, "a Benchmark for Evaluating LLM #Agents on #Research Replication in the Social and Behavioral Sciences" www.cos.io/blog/benchma... #LLMs #AI #AgenticAI #socialscience

Dibujando el contorno de la experiencia: Entrevista con Tristan Bekinschtein www.cienciacognitiva.org?p=2662

Our metacheck package now has an online manual! In 29 short chapters we explain how to set up metacheck (running all modules 100% locally if you want), and explain the 18 available modules. www.scienceverse.org/metacheck_bo... We are still in beta, and would love to get feedback!

New paper in iScience on the neural dynamics of decision-making during learning. We analyzed behavioral and EEG data from 510 participants on the RLWM task (developed by @annecollins.bsky.social & Michael J. Frank). doi.org/10.1016/j.is...

Tip for junior authors: A power analysis is only as good as the effect size you feed it. "Medium" is not a justification. Tell us whether your effect size comes from prior empirical work (justifying that choice) or from theory (e.g., the smallest effect you'd care to detect). #cogpsyc #AcademicSky🧪

🎉 Now published in Nature Communications! 🧠 We develop a novel computational reinforcement learning & habit model of Twitter data, and show that younger people & women are more behaviourally sensitive to 'Likes'. Read the paper: bit.ly/4f1vsKS

New interactive blog! "Why Adjusted Regression Coefficients Are Less Descriptive Than They Look" rpsychologist.com/descriptive-...

Después de unos días de trabajo, aquí va mi capítulo favorito: Formulando preguntas estadísticas. Pienso que deberíamos leerlo todos los que hacemos, leemos o consumimos ciencia: juangff85.github.io/inferencias-...

New paper in Nature Communications 🎉 Led by @romanececchi.bsky.social, with @sgluth.bsky.social, we show that attention shapes value normalization in human reinforcement learning. Eye-tracking models explain nonlinear reward scaling better than an ad hoc parameter. www.nature.com/articles/s41...

Have you used Bayes factor to test point-null hypotheses in Hierarchical models and wondered: 1. Bridge sampling (BS) or Savage-Dickey density ratio (SDDR)? 2. If SDDR, which density estimation method? 3. How many MCMC samples? 4. What's the cost-benefit trade-off? This may be of interest to you.

1/9 📄 New in the Journal of Neuroscience: "Faster but less precise: expectation enhances response speed while reducing sensory fidelity" Does the brain prioritise the events it expects, or the ones that surprise it? We find it does both — at different stages. 🧵 doi.org/10.1523/JNEU...

Solid rejection of "counting" and "statistical inference" abilities in nonhuman animals, from crows to chimps & pigeons. #animalcognition "associative learning models are a powerful tool in animal cognition research, often capable of unmatched quantitative accuracy." doi.org/10.1037/rev0...

This paper is cool. The conclusion seems a little obvious (that learning makes individuals different), but at the same time, lovely to see it quantified so clearly: elifesciences.org/reviewed-pre... 🧪

Some new work on AI & science: A reporting checklist for LLMs in behavioral science Thanks to @sfeuerriegel.bsky.social for spearheading. As LLMs become more common in research, transparency is essential. We developed a reporting checklist for reporting how LLMs were used - please share! 1/4

⏰ ¡Ha llegado el día! "Ni frágiles ni idiotas", coescrito con @mininacheshire de la mano de @ShackletonBooks, ya está disponible en papel. Puedes localizar la librería más cercana donde encontrarlo aquí: todostuslibros.com/libros/ni-fr... Un breve 🧵...

i dunno but using a machine that always regresses to the mean (llms) to simulate “diverse populations that are not readily accessible” seems the oppose of good science to me… no matter how popular it has become in behavioural sciences

Evidence suggests that AI-driven ‘deskilling’ is starting to happen in medicine, computer science and other fields go.nature.com/4uJdRvW

New preprint: There is only one correct analysis. osf.io/preprints/ps... with @sajedehra.bsky.social and @mntunc.bsky.social We take a critical look at recent proposals for multiverse or many analyst procedures, and strongly argue that epistemic uncertainty should be reduced, not “embraced”. >

New results! A new method that analyzes brain waves and spike timing together. This lets us pinpoint exactly which rhythms neurons are locking to. BAYESIAN STATE-SPACE MODEL FOR JOINT INFERENCE OF OSCILLATORY DYNAMICS AND POINT-PROCESS COUPLING doi.org/10.64898/202... #neuroscience

Look how far we've come in just a few years! We're fast as well! It turns out, recruiting reviewers is much easier when they're not being used as free labor for massively profitable publishers Support free-to-publish and Open Access science by submitting to Open Mind today! direct.mit.edu/opmi

—— Open Mind is MIT Press’s Diamond Open Access Cognitive Science journal. We now have our first Impact Factor: 2.9 as of June 2026 Submit your papers to Open Mind direct.mit.edu/opmi

We make flexible choices in new situations by knitting together information from separate relevant memories. But what governs which memories are retrieved and when? In a new preprint, we captured how people build decision variables from different memories by tracking their gaze on a blank screen.

New from our team and colleagues: ReplicatorBench: Benchmarking LLM Agents for Replicability in Social and Behavioral Sciences arxiv.org/pdf/2602.11354

New paper in Imaging Neuroscience by Niek Stevenson, Steven Miletić, and Birte U. Forstmann: Building bridges between brain and behavior: An open-source toolbox for joint modeling with fMRI doi.org/10.1162/IMAG...

When utilized in literature review, LLMs consistently 1. fail to mention female authors in female-led literatures, 2. insist that men are more influential or more heavily cited when this is contradicted by objective citation counts, and 3. attribute women’s work to hallucinated male scholars.

New paper draft: On Cheap Artificial Consciousness. When investigating AI consciousness, it's natural to look at what theories of consciousness tell us. Problem: you can build simple systems that meet their conditions. So, what should we say? A thread. (Paper in the last post)

Feeling incredibly honored to receive the William James Prize from the @theassc.bsky.social for our paper on how the brain distinguishes imagery and perception! Thank you to the committee and thanks @smfleming.bsky.social for being the best mentor!

Finally out in Psychological Review (psycnet.apa.org/doi/10.1037/...), our update to Signal Detection Theory. We show that contrary to the prevailing Gaussian assumption, evidence distributions in recognition memory are likely minimum extreme Gumbel!

New preprint w/ @akalt.bsky.social, Juliane Schubert, Nathan Weisz, & @clarepress.bsky.social 🎉 Predictive-brain accounts treat "prediction error" as one signal. We find it's two jobs, in two dissociable systems. And one of them you can watch in the pupil, as people listen to a story. 🧵 (1/9)

New team science initiative just dropped! manyscale.org We're looking for collaborators to lead repositories of self-report measures in their own psychology subfields.

Trabajando para generar una versión en castellano del magnífico libro de @lakens.bsky.social A falta de corregir la numeración de los párrafos, ya he revisado el capítulo 2: control de errores. @samuelpleon.bsky.social @frangfr.bsky.social @mavadillo.bsky.social juangff85.github.io/inferencias-...

The paper also makes technical contributions, including a new prior for standardized factor loadings that addresses limitations of previous HFMs, together with extensive code to fit and reproduce models. All materials are available on GitHub (github.com/RicardoReySa...) and OSF (osf.io/5dutv/).

Finally, our paper is out! Together with @aliciafrancomnez.bsky.social, Javier Revuelta, and @mavadillo.bsky.social, we extend hierarchical factor models for skewed RTs and task validation, now in Psychological Methods: doi.org/10.1037/met0... Let me briefly explain what we did and why it matters!

I built a website that tracks open source tools that provide automated checks for scientific manuscripts: lakens.github.io/automated_re... It provides a summary through RSS feed that you can subscribe to. It tracks 13 repositories - if you want your repo to be included, let me know!

We've known that socioeconomics (SES) matters for the 🧠. New & 🤯 is that SES drowns out all other brain associations, incl. IQ. If you train an algorithm to predict IQ from brain data, it's still way better at predicting SES. Science Mag: www.science.org/doi/10.1126/... @smarek0502.bsky.social 👀🧵👇

This wonderful work shows an AI-assisted workflow that could reduce reproducibility check cost and time by orders of magnitude. Soon, large-scale projects like SCORE may only be needed for training and validation evidence. Talk www.youtube.com/watch?v=ijad... Paper www.leoyang.org/publication/...

Join us as a postdoctoral researcher! "Invisible Knowledge Work in Open Science Practices", funded by OSNL #STS #metascience Come help us map and understand the invisible labour that enables, allows, supports and shapes #openscience, and lets it grow. Mostly #qual work, with small #quant pockets.

Making time for a dynamic attentional priority map Sage E.P. Boettcher ∙ Gwenllian C. Williams ∙ Jeremy M. Wolfe ∙ Nir Shalev www.cell.com/trends/cogni...

New ManyBabies publication! Over 10+ years and 5,000+ babies tested, we've learned a ton about how to study the developing mind. In this comment, we discuss three such lessons that are shaping the future of ManyBabies. We'd love to hear your thoughts!

I’ve officially resigned as Associate Editor for Frontiers in Systems Neuroscience. It used to be a reputable journal, but became a case study in how forced automation destroys academic integrity. 👇