Application Form Senior Editor Clinical/Associate Editor Social Section Collabra: Psychology Starting from 1 July 2026, Collabra: Psychology is on the look-out for a new senior editor for the clinical section as well as several new associate editors for the social section. If you are interest...

Collabra: Psychology is seeking a new senior editor for the clinical section and new associate editors for the social section. If you are interested in either of these positions and you believe you are qualified, please fill out the application form before 30 April 2026! forms.gle/DgM3484SuLVD...

Want to contribute to scientific rigor and open science in clinical psychology? Apply to be the senior clinical editor at Collabra!

Worried it's too much work or you are too junior? Please ask me about it. You might, in fact, be the ideal person!

Constituent-constrained word prediction during language comprehension - Nature Neuroscience Zou et al. reveal a key difference between human brains and large language models (LLMs). While LLMs are optimized to predict the next word, the human brain modulates prediction efficiency by strategi...

New paper that merits a read (Im totally unbiased...not). Simple, straightforward, impactful message. Prediction a la LLM is nice. Constituent-constrained prediction is nicer. @jiajiezou.bsky.social and Nai Ding show brain, behavioral, MEG, ECoG data.
www.nature.com/articles/s41... #neuroskyence

Beyond binding: from modular to natural vision The classical view of visual cortex organization as a collection of specialized modules processing distinct features like color and motion has profoundly influenced neuroscience for decades. This fram...

Beyond binding: from modular to natural vision: Trends in Cognitive Sciences www.cell.com/trends/cogni...

#neuroskyence #visionscience

Reminder: If researchers find Cohen's d = 6, no they didn't.

trustworthy.scientific.claims/posts/if-res...

There seems to be a broad perception across psychology and neuroscience that work shouldn't be "too technical" in order to reach the broadest possible audience. While I think we should strive for accessibility, I feel that this attitude can also be self-defeating: why are we dumbing down?

Published!

What Does ‘Human-Centred AI’ Mean? doi.org/10.3390/bs16...

Thank you to Andy Wills www.andywills.info for inviting me to his SI (Advanced Studies in Human-Centred AI) — and furthermore, for being up for me completely disagreeing with so many mainstream views on HCAI! Great reviews too.

Join this event today: 7p GMT+2, 6p GMT+1, 1p ET, 10a PT.

🎉📖 Applications are open for The Turing Way Book Dash: 18th & 19th May 2026!

Deadline: 27th April 2026 (midnight, anywhere on Earth 🌏)

The Turing Way Book Dash is a collaborative event where you'll work with others to add to and improve The Turing Way book and become a part of its community ✨

great initiative!

I'm proud to be part of the Scientific Committee for the new $5M Digital Brain Project, to accelerate development of open source models of the human brain. Apply by May 15th for funding at digitalbrainproject.org

This excellent post implicitly highlights my primary purpose in organizing these replication studies--to *describe* what happens when we try to replicate the published literature. This descriptive evidence grounds conceptual debates about *why* we observe those rates, and what we "should" observe.

When Being Right Less Than Half the Time Is … Fine Let’s say you do a job that involves making predictions about human behavior — you manage money, you sell things, you write opinion columns. Just less than half of your predictions turn out to be more...

"the replication findings reinforce lessons that I have slowly been learning over the years ...'the issue needing to be solved is overconfidence..We tend to act as if published findings are replicable without actually assessing whether they are.'”

www.bloomberg.com/opinion/arti...

Acute requirement for the hippocampus in putatively conscious vision revealed by a mouse model of blindsight The phenomenon of blindsight provides a unique opportunity to uncover brain areas important for conscious vision. Patients with blindsight lose the co…

www.sciencedirect.com/science/arti...

very nice paper on a mice model of blindsight

i'm not sure if i'm fully convinced by their saliency control, but maybe i'm just picking hair

let me explain: (a thread to follow)

An Audit of Social Science Survey Experiments Abstract. Survey experiments have become a popular methodology for causal inference across the social sciences. We study the efficacy of survey experiment

…Speaking of null results, I only just discovered this fascinating paper. Seems that we (social science researchers) systematically overestimate the effect sizes likely to be operating, so we underpower our studies

I’m v curious abt how much this reflects sheer wishful thinking vs substantive error

Very excited to announce that the #BayesianWorkflow book by @statmodeling.bsky.social, @avehtari.bsky.social, @rmcelreath.bsky.social et al publishes in June! routledge.com/9780367490140 #RStats #DataScience #Bayesian

Emergence of Successor Representations and Experimental Design. Top: Example of how sequence learning and sleep might change neural representations. Upon encountering a Welsh Corgi, the brain primarily represents the current stimulus entity. If the Corgi is part of a recurring temporal sequence (Corgi → Girl → House), subsequent stimuli (Girl and House) might be integrated into the Corgi representation. Post-learning sleep might provide an opportunity for the brain to replay learned experiences and thereby further strengthen successor representations. Upon post-sleep exposure to a Corgi image (right), brain activation patterns might reflect both the current stimulus (Corgi) as well as learned successors (Girl, House). Faded images indicate weaker representations. Middle: Timeline of the experiment. Participants first completed a perceptual task, followed by a sequence learning task (Memory Arena). Memory for the learned sequence was then assessed both before and after a period of sleep. Finally, participants completed the perceptual task again. Bottom left: Memory Arena sequence design. Participants (N = 26) were tasked with learning the spatiotemporal structure of 50 images. These images belonged to five distinct categories (letter strings, scenes, objects, faces, and body parts) and were organized into 10 subsequences of five images each, following one of two fixed category orders: (i) letter string, scene, object, face, or (ii) object, scene, letter string, face, with body part images randomly inserted to obscure the primary category sequences. The two subsequence types were counterbalanced across participants. Bottom right: Memory Arena location design. The Arena was spatially organized into five principal ‘slices’, with each slice corresponding to one of the five main image categories.

How do experiences reshape our internal representations of the world? @bstaresina.bsky.social &co show that learning sequential experiences reshapes how the #brain represents what we see; a post-learning nap strengthens these predictive changes @plosbiology.org 🧪 plos.io/4dJGwMC

Want to join the Multilingual Minds and Machines Meeting, June 22-23 in Nijmegen? Registration is open until 1 May! mmmm2026.github.io

New preprint from my lab! We study how reinforcement learning & selective attention interact. To do so, we built a set of models describing different ways that value & reward prediction error can modulate top-down attention. We compare model outcomes to monkey data from a color value learning task

Both questionable (e.g. p-hacking) and open (e.g. pre-registration) research practices are prevalent in education research. We sought to understand the explanations given by educational researchers for why either should or should not be used. Two teams of researchers independently analysed open-ended survey responses from 1488 education researchers on their feelings about questionable and open research practices. Despite using different analytic approaches, all of the major categorizations of participant responses were similar or related across teams. Our findings suggest that although respondents believe that questionable research practices should not be used, they conceded there are systemic reasons some use them. Similarly, although respondents generally support open practices, they noted situations in which they were not appropriate or necessary for education research. These findings can serve as a catalyst for training and policy initiatives. #MetaSci #Methodology #EduSky #AcademicSky #OpenSci

“Our findings suggest that although respondents believe that questionable research practices should not be used, they conceded there are systemic reasons some use them.”

Open Acc: doi.org/10.1098/rsos...

BSky authors: @sarahcaroleo.bsky.social, @jesse-fleming.bsky.social, @bryancook.bsky.social

"you could - by careful choice of an existing scoring method from the literature - find any effect, or nothing, or the reverse of any effect you choose. This is bonkers. ... so extreme as to be farcical."

This is the sentiment we were hoping people would come away with!

w/@anniria.bsky.social

Virtual Event April 16 // 1 pm ET NEW EVIDENCE ON REPRODUCIBILITY ACROSS SOCIAL AND BEHAVIORAL RESEARCH Moderator: Tim Errington Speakers: Katrin Auspurg, Abel Brodeur, and Andrew Tyner

What can large-scale studies tell us about reproducibility? In our webinar on April 16, researchers from COS, I4R, and META-REP will discuss findings from three papers—one from the recently published SCORE effort—and insights on reproducibility, transparency, and credibility

cos-io.zoom.us/webin...

Kern et al. estimate that a "replay" signal in MEG would need to be unrealistically strong/frequent to be statistically detectable using temporally delayed linear modelling (TDLM). #sleeppeeps

(love this "experiment visualization" format)

“Still WEIRD, still underreported: An updated benchmark for psychological science” doi.org/10.1037/amp0...

I'm sorry but it's going to be one of those posts

97% (positive results) vs 80%(null results) chance of reviewer recommending acceptance

Many folk are surprised to discover thay Risk of Bias assessment tools tend not to interrogate the question “Did this study actually happen? And are its results trustworthy enough to believe?”

Jack’s Cochrane endorsed INSPECT-SR checks have done a lot to mainstream such Trustworthiness Assessment.

What makes behavioral interventions work beyond the psychological theory they implement? Their format, level of engagement, delivery modality?

In a new paper analyzing 274 interventions from 15 megastudies (4.1M+ participants), we tested 19 features: www.sciencedirect.com/science/arti...

1/2

== Effect Size and Confidence Intervals (ESCI) check ==

Lots improved.
Has a revamped website and R package on CRAN.

Works like statcheck, also checks effect sizes and calculates confidence intervals.

Tricky countless edge cases, but after testing it on 1000s of articles, seems pretty decent.