Sign in

Hu Chuan-Peng is on paternity leave

@hcp4715.bsky.social
1.5K followers 2.1K following 274 posts

Currently on paternity leave | Self cognition | computational modeling | meta-science, open science, diversity| amateur climber

PostsRepliesMedia
Reposted by Hu Chuan-Peng is on paternity leave
Qiaoli Huang @qiaoli-huang.bsky.social · 14/10/2026
Very happy to share our new work. Do our eye movements reveal how we structure information in working memory? We found that eye movements adapt to memory demands, shifting from sequential sampling during encoding to replay-like revisitation during maintenance. dx.plos.org/10.1371/jour...
dx.plos.org
Eye movements reflect capacity-dependent organization of working memory
Human working memory is capacity-limited, requiring information to be actively organized to support efficient encoding and maintenance. This study shows that spontaneous eye movements track latent mem...
05923 0
Reposted by Hu Chuan-Peng is on paternity leave
Paul Thompson @ptenigma.bsky.social · 14/10/2026
🔥 OUT TODAY in NATURE MENTAL HEALTH, an unusual paper by our international commission recommends science-backed programmes to help the mental health of over a billion people worldwide: www.nature.com/articles/s44...
0125 0
Reposted by Hu Chuan-Peng is on paternity leave
Jorge Peña 🇵🇸 @jorgeapenas.bsky.social · 08/10/2026
New preprint with Julian Garcia & @tobyhandfield.bsky.social 🧵 We tested 1,048,576 moral systems of indirect reciprocity, each pairing a strategy (how to act) with a social norm (how to judge others), across all prisoner's dilemmas, snowdrift games and stag hunts. arxiv.org/abs/2610.03832 1/6
Model diagram. Two players, each with a good or bad reputation, play a two-by-two game with payoffs R, S, T and P. Each player cooperates or defects according to a strategy table that reads both players' reputations. An observer watches and assigns both players new reputations according to a social norm table that reads both reputations and both actions. Side panels show example strategies (ALLC, ALLD, DISC, CDISC, ODISC, PDISC) and norms (Scoring, Stern Judging, Simple Standing, Standing, Consistent Standing, Generous Standing) as colored grids.
34916 0
Reposted by Hu Chuan-Peng is on paternity leave
Veli-Matti Karhulahti @mkarhulahti.bsky.social · 11/10/2026
"250,000 respondents can produce an estimate of the population mean that is no more accurate than an estimate from a simple random sample of size 10" reminds of recent Nature journal paper with N=billions but lacking the studied variable so the study is actually nonsensical doi.org/10.1525/coll...
doi.org
“No Evidence That Chinese Playtime Mandates Reduced Heavy Gaming”: Zendle et al. (2023) Cannot Support Its Claims Due to a Flawed Design
Zendle et al. (2023) is a study of the impact of a Chinese policy restricting heavy videogame play among minors, finding that the policy had no effect. We show that, due to flaws in design, the study ...
14711 0
Reposted by Hu Chuan-Peng is on paternity leave
Matti Vuorre @matti.vuorre.com · 09/10/2026
Send your best work to PCI Psychology (psych.peercommunityin.org) where it will receive high quality & open peer review free of commercial interference. We review a variety of article types from a wide range of psychological topics (psych.peercommunityin.org/help/help_ge...).
23623 0
Reposted by Hu Chuan-Peng is on paternity leave
Gaia Molinaro @gaiamolinaro.bsky.social · 08/10/2026
Our reward function compression work is now out in Nature Communications! 🎉 In it, we present and empirically test a computational framework that formalizes the trade-offs between goal flexibility and learning efficiency. @annecollins.bsky.social @natureportfolio.nature.com doi.org/10.1038/s414...
Conceptual model of goal-directed reinforcement learning with reward
function compression. In our proposed conceptual model, we break down goald-dependent learning into several parts. Combined with other learning components, an RL learning algorithm informs value estimates W on a given trial t, which are entered into a policy. The agent selects an action a through a joint policy, to which the environment responds by outputting outcome information o and a new state s. A working memory (WM) component organizes and maintains task-relevant information (here, broadly intended and dubbed the task information), used to support the reinforcement learning (RL) process. a Initially, value attribution to o is operated by WM,which maintains the current goal (g) and supports its matching to the experienced outcome to generate a reward r used by the RL agent. WM also holds a trace of recently experienced goals. b If goals share enough similar features,
a compressed reward function can be created, which replaces active goal maintenance and can, over time, be transferred to long-term memory storage. Eventually, the compressed reward function can be directly employed to assign value to experienced outcomes, sparing resources for other WM tasks.
08927 0
Hu Chuan-Peng is on paternity leave @hcp4715.bsky.social · 09/10/2026
I posted it at @chineseopensci.bsky.social's WeChat: mp.weixin.qq.com/s/mv5FWxnIM9...
mp.weixin.qq.com
Psychological Science专辑征稿 | “评估心理科学的基础”
推荐语:Psychological Science的这个征稿,恐怕是心理学历史上第一次期刊鼓励同行来质疑其所发
010 0
Reposted by Hu Chuan-Peng is on paternity leave
Ian Ballard @iancballard.bsky.social · 08/10/2026
The Computational and Cognitive Neural Sciences lab (ballardlab.org) at UC Riverside is recruiting psychology PhD students to join our team! Check out the flyer to learn about the lab and our stellar research community at UCR. Apply by 12/1! tinyurl.com/yjubmvvb
02719 0
Reposted by Hu Chuan-Peng is on paternity leave
Judith ter Schure @judithterschure.bsky.social · 07/10/2026
Excellent! I will launch something like this later this year for submissions criticizing research from NL institutions or criticism by researchers based in the Netherlands! I'll start with a collection on ResearchEquals, but am also thinking of collaborating with eg @robustnessreports.bsky.social.
161 0
Hu Chuan-Peng is on paternity leave @hcp4715.bsky.social · 07/10/2026
👏👏👏 congrats!
010 0
Reposted by Hu Chuan-Peng is on paternity leave
Prof. Madeleine Pownall @maddipow.bsky.social · 07/10/2026
As of today I am a Professor of Open Scholarship in Psychology! 🥂🩷
15834 0
Reposted by Hu Chuan-Peng is on paternity leave
Big Team Science Conference @btscon.bsky.social · 07/10/2026
Day 2 of #BTSCON2026 is underway! It’s never to late to join your big team science friends in a zoom room near you 🥰 bigteamscienceconference.github.io
bigteamscienceconference.github.io
Big Team Science Conference
The goal of the Big Team Science Conference is to bring together a multidisciplinary group of researchers, funders, and stakeholders to discuss advancements, challenges, and future opportunities relat...
043 0
Reposted by Hu Chuan-Peng is on paternity leave
PLOS Biology @plosbiology.org · 07/10/2026
Moral and perceptual decisions may share computational mechanisms, but do they rely on the same neural systems? This study shows that both follow similar evidence-accumulation computations, yet engage distinct neural representations. 🧪 #NeuroSky #morality #cognition plos.io/4AM2V57
Moral and perceptual task-relevant conflict are represented by distinct brain areas. The two right temporoparietal junction clusters (rpTPJ and raTPJ) identified in different analyses had no overlap.
0115 0
Reposted by Hu Chuan-Peng is on paternity leave
Rebecca Sear @rebeccasear.bsky.social · 07/10/2026
“WEIRDly Exceptional”: Has Cultural Psychology Reproduced What It Sought to Critique? “By designating Western populations as psychologically “peculiar,” the framework inadvertently maintains the West as the central reference point against which human variation is measured”
journals.sagepub.com
Sage Journals: Discover world-class research
Subscription and open access journals from Sage, the world's leading independent academic publisher.
1104 0
Reposted by Hu Chuan-Peng is on paternity leave
Guy Grossman @guygrossman.bsky.social · 07/10/2026
🚨new working paper🚨 Chris Blair (@chriswblair.bsky.social), Jeremy Weinstein, and I describe here The Dataset of World Refugee and Asylum Policies, in which we code de jure asylum policy for 205 countries, from 1951-2022. We hope you will find the paper and data helpful. osf.io/preprints/so...
osf.io
The Dataset of World Refugee and Asylum Policies (DWRAP): de jure asylum policy for 205 countries, 1951-2022
More than two-thirds of the world's refugees and asylum-seekers are hosted in the developing world, yet the national laws governing their reception have never been measured comprehensively across coun...
03926 0
Reposted by Hu Chuan-Peng is on paternity leave
Dan Goodman @neural-reckoning.org · 07/10/2026
Fascinating insights into the early history of Zotero, including the fact that the name is the Albanian word for "to learn well or master". Hats off to everyone involved in this project. Also if you're not using Zotero, why not? Dump that closed rubbish you're using now and switch.
17320 0
Hu Chuan-Peng is on paternity leave @hcp4715.bsky.social · 07/10/2026
👍🏻👍🏻👍🏻
010 0
Reposted by Hu Chuan-Peng is on paternity leave
simine vazire @simine.com · 07/10/2026
Another special issue at Psych Science! We invite “submissions that advance the field through critical appraisal of articles previously published by Psychological Science” Please share! www.psychologicalscience.org/publications...
psychologicalscience.org
Special Issue Call for Submissions: “Appraising the Foundations of Psychological Science”
Editors: Tom Beckers and Heather UrryOne way a journal can earn its reputation for quality is to take active steps to vet the articles that appear within its pages after publication. To that end, Psyc...
610361 0
Reposted by Hu Chuan-Peng is on paternity leave
Dirk Wulff @dirkwulff.bsky.social · 10/06/2026
📣 Reporting checklist for LLMs in behavioral and social science New article presenting a consensus-based reporting checklist (GUIDE-LLM) for the use of LLMs in the behavioral and social sciences to foster transparency, reproducibility, and ethical use. 🔗 www.nature.com/articles/s41...
02210 0
Reposted by Hu Chuan-Peng is on paternity leave
Nadia Hosseinizaveh @nadiahosseinizaveh.bsky.social · 07/07/2026
(1/6) My first first-author paper is now out in @nconsc.bsky.social! Part of my PhD work with @mamassian.bsky.social at @lsp-ens.bsky.social. We looked at how confidence behaves during a perceptual learning task with no feedback. academic.oup.com/nc/article/2...
academic.oup.com
Perceptual learning without feedback is accompanied with systematic changes in confidence processing
Abstract. Perceptual learning can occur without external feedback, raising questions about what internal signals might guide this learning. Here, we test t
56924 0
Reposted by Hu Chuan-Peng is on paternity leave
Ryan Yan Yan @ryanypsych.bsky.social · 06/08/2026
Our paper, "Pupil size dynamics predict momentary changes in self-reported arousal," has been accepted by the Journal of Neuroscience! 👀 🎉 We know pupil size is related to norepinephrine activity, and thus arousal and vigilance. But does it also map onto how people subjectively feel?
1102 0
Reposted by Hu Chuan-Peng is on paternity leave
Institute for Replication @i4replication.bsky.social · 25/09/2026
Over the past two years, I4R partnered with Psychological Science (@psychscience.bsky.social) on a large reproducibility project. 67 independent teams reproduced 64 articles published in 2024–2025, about 44% of eligible papers. Paper: www.econstor.eu/bitstream/10... Here's what we learned 🧵
19260 0
Reposted by Hu Chuan-Peng is on paternity leave
Ali Shiravand @alishiravand.bsky.social · 28/09/2026
Very glad to have contributed to this valuable initiative! 🌊 Together with @isabellehoxha.bsky.social and @nicolasyax.bsky.social, our team reproduced “Synchrony Influences Estimates of Cooperation in a Public-Goods Game” by McEllin and Sabenz (Psychological Science, 2024).
0102 0
Reposted by Hu Chuan-Peng is on paternity leave
RLDM @rldmparis2027.bsky.social · 29/09/2026
📣 Save the date! RLDM 2027, the Multi-disciplinary Conference on Reinforcement Learning and Decision Making, is coming to Paris, July 6-9, 2027 🎉 Stay tuned for submission deadlines and more updates on our website rldm.org 👀
07337 0
Reposted by Hu Chuan-Peng is on paternity leave
Christoph Strauch @cstrauch.bsky.social · 02/10/2026
How much of a risk are LLM-generated bots for online behavioral experiments? We present results of an entirely natural language prompt-generated agent, capable of absolving any of the 26 experiments we tested it on. Most tasks are passed with data that can pass as human osf.io/preprints/ps... (1/)
59444 0
Reposted by Hu Chuan-Peng is on paternity leave
Matthias Nau @matthiasnau.bsky.social · 02/10/2026
Important work showing just how easily AI agents can pass online behavioral experiments! Safeguards need to keep up if we want to continue online testing!👇
083 0
Reposted by Hu Chuan-Peng is on paternity leave
Dr Cyril Pernet @cyrilrpernet.bsky.social · 02/10/2026
😍
041 0
Reposted by Hu Chuan-Peng is on paternity leave
rogier kievit @rogierk.bsky.social · 02/10/2026
Exactly this. Make yourself and your work easily findable. Yes, also if you are just starting - Perhaps you gave an impressive talk or an exciting poster, and I want to know more, invite you to something, or recommend you to a colleague. I can't count the number of times I just gave up & moved on
0176 0
Reposted by Hu Chuan-Peng is on paternity leave
Stefano Palminteri @stepalminteri.bsky.social · 01/10/2026
1/ Very proud of this preprint — and especially because it marks a first step for our lab in a new direction: using what we know about learning not only to diagnose misconceptions, but also to correct them. zenodo.org/records/2303...
12110 0
Reposted by Hu Chuan-Peng is on paternity leave
Matti Vuorre @matti.vuorre.com · 01/10/2026
Good talk. There's a lot of (over)thinking of this at the moment. Zenodo just works. (Until it doesn't when we and our bots ruin that as well.) Collaborate on GitHub and refer to zenodo.
2359 0
Reposted by Hu Chuan-Peng is on paternity leave
samuel mehr @mehr.nz · 02/10/2026
another reason to uphold academic norms of prohibiting AI slop in papers: nobody wants to read all this shit, nor could anyone read all this shit if they did want to
1195 0
Reposted by Hu Chuan-Peng is on paternity leave
Thomas Talhelm @thomastalhelm.bsky.social · 30/09/2026
Join me at the Historical Psychology Pre-Conference at SPSP. It'll be fun to finally get to join this pre-conference! 🤩 @spspnews.bsky.social
033 0
Hu Chuan-Peng is on paternity leave @hcp4715.bsky.social · 28/09/2026
Is there a version outside the paywell?
000 0
Reposted by Hu Chuan-Peng is on paternity leave
Mark Ho @markkho.bsky.social · 26/08/2026
@harootonian.bsky.social 's paper on cognitive strategies in teaching is now out in Nature Human Behavior! 🎉🎉 Very excited about this line of work bc it combines efficient decision-making with theory of mind - check out Sev's thread 👇
0273 0
Reposted by Hu Chuan-Peng is on paternity leave
Jörn Alexander Quent @jaquent.bsky.social · 23/09/2026
Proud to share our latest preprint with my very special @mengya-zhang.bsky.social (🥰). Briefly, we studied how the degree to which CA1 responses are the same (reinstatement) or different (novelty response) supports memory, echoing a central tension in the field. www.biorxiv.org/content/10.6...
biorxiv.org
1157 0
Reposted by Hu Chuan-Peng is on paternity leave
laserhedvig @laserhedvig.bsky.social · 21/09/2026
Interdisciplinary research is great and necessary, and also has consistently lower funding success www.nature.com/articles/nat... #academiclabourmarket #academia #research
26133 0
Reposted by Hu Chuan-Peng is on paternity leave
David Poeppel @davidpoeppel.bsky.social · 01/09/2026
Speech production is fast, complicated, cool (when the right thing is said...) Covert speech is a nice trick to study this. If you like speech planning, forward models, efference copies, brains this work is (we hope) helpful to clarify the brain mechs. #neuroskyence www.pnas.org/doi/10.1073/...
pnas.org
Temporally structured motor and auditory representations in covert syllable production | PNAS
Inner speaking—the deliberate generation of speech through covert production mechanisms—is a common human experience. Current accounts propose that...
34315 0
Reposted by Hu Chuan-Peng is on paternity leave
Jörn Alexander Quent @jaquent.bsky.social · 21/09/2026
My latest work on how both hippocampal consistency and differentiation can support single-item recognition memory.
0125 0
Reposted by Hu Chuan-Peng is on paternity leave
Julia Strand @juliafstrand.bsky.social · 19/09/2026
New preprint with @violetsarebrown.bsky.social: "Measuring Up: Accessible Approaches for Improving Measurement Practices in Psychological Science." The aim of the paper is to reduce barriers to entry to doing measurement work in Psychology. #schmeasurement osf.io/preprints/ps...
osf.io
OSF
13314 0
Reposted by Hu Chuan-Peng is on paternity leave
ejwagenmakers.bsky.social @ejwagenmakers.bsky.social · 19/09/2026
Hi Dan! Cool stuff. Did you see the paper by Julius Pfadt? doi.org/10.31234/osf... I see certain similarities...
doi.org
OSF
141 0
Reposted by Hu Chuan-Peng is on paternity leave
Dan Quintana @dsquintana.bsky.social · 19/09/2026
New preprint! 🎉 I analysed 1660 papers from 4 psychology journals and found materials sharing went from 9% of papers in 2015 to 82% in 2025, and these materials *do* get downloaded — a median of 135 times each. BUT shared code is often hard to run. doi.org/10.31234/osf... Let's walk through it 🧵
Two-panel figure. Panel a is a flow diagram tracking 1,611 empirical psychology articles from publication year (545 in 2015, 552 in 2020, 514 in 2025) to repository-link type: 785 link an OSF project, 85 link another platform, and 741 link no repository. Of those with an OSF link, download counts were retrieved for 670 and not retrieved for 115. Panel b is a line chart of the share of empirical papers linking OSF across 2015, 2020 and 2025. The overall rate, shown as a dashed black line, rises from 9% to 57% to 82%. All four journals rise steeply and end close together: Psychological Science 92%, JESP 89%, JML 83%, Cognition 76%, with Psychological Science highest throughout.Three-panel figure. Panel a: ridgeline plot of downloads per file by material type on a log scale, with the percentage never downloaded labelled for each — archive 16% of 545 files, documents 20% of 2,970, code 12% of 3,471, other 17% of 1,646, data 21% of 10,051, media 35% of 2,120, images 35% of 4,102. Most files cluster between 1 and 10 downloads, with long right tails past 100. Panel b: ridgeline plot of downloads per paper by journal, log scale, with dashed median lines; Psychological Science is highest, then JESP, JML and Cognition. Panel c: stacked bars showing, for documents, data and code separately, the share of papers by download band (0, 1–10, 11–100, more than 100) in 2015, 2020 and 2025. The share exceeding 100 downloads falls sharply over time in all three types, from roughly two-thirds in 2015 to a quarter or less in 2025, as the 1–10 band grows.Four-panel figure. Panel a: statistical languages detected among 333 papers with retrievable code — R 88%, SPSS 12%, Stata 4%, SAS 1%. Panel b: code red flags among those 333 papers — 34% hard-code an absolute path, 40% reference a missing file — above documentation among 672 OSF-linked papers — 21% have a README, 30% are documented by README, description or wiki. Panel c: among 562 Elsevier papers with no repository link, 44% (245) host at least one journal supplementary file but only 14% (77) host data, code or an archive. Panel d: composition of those 448 hosted files — documents 52%, data 21%, media 9%, other 7%, archive 6%, code 3%, images 1%. The code panels are green, the journal-supplement panels blue.Coefficient plot (download predictors)

Dot-and-whisker plot of three standardised predictors of OSF download volume, each with a 95% confidence interval. Repository size (number of files) has the largest effect at about 0.76, citations about 0.38, and altmetric attention about 0.12. All three intervals sit entirely above zero, so each predicts more downloads, with repository size roughly twice the effect of citations and six times that of attention. X-axis: standardised effect, −0.2 to 1.0.
4269115 0
Reposted by Hu Chuan-Peng is on paternity leave
Dan Quintana @dsquintana.bsky.social · 20/09/2026
Check how reusable your OSF materials are with my new app, which is part of my latest preprint. Plug in up to ten OSF repo links, and you’ll get a brief report + tips for fixing issues ⬇️
1188 0
Reposted by Hu Chuan-Peng is on paternity leave
Tarryn Balsdon @tarrynbalsdon.bsky.social · 24/08/2026
Metacognition at #ECVP2026 17h Bayview In addition to great talks, come find out if my low prospective confidence in being a good session chair is accurate 🤣 (the last session can go late right?)
1151 0
Reposted by Hu Chuan-Peng is on paternity leave
Marlene Cohen @marlenecohen.bsky.social · 10/09/2026
Now out in Nature Neuroscience: fantastic work by @cxue.bsky.social, Sol Markman et al who discovered a neural reason that performance suffers under cognitive load: “Feature interference underlies a neuronal basis for the behavioral cost of task uncertainty”. www.nature.com/articles/s41... 🧪🧵1/
nature.com
Feature interference underlies a neuronal basis for the behavioral cost of task uncertainty - Nature Neuroscience
Using a combined approach of monkey electrophysiology, artificial neural networks and human psychophysics, Xue et al. show that neuronal interference from irrelevant information underlies behavioral e...
312240 0
Reposted by Hu Chuan-Peng is on paternity leave
Prof. Gillian Brown @gillianrbrown1.bsky.social · 17/09/2026
🚨Call open for manuscripts on 'Metascience of the evolutionary human sciences' for a Special Collection in EHS, co-edited by @louisbachaud.bsky.social, @hclarkbarrett.bsky.social and myself. @ehbea.bsky.social @humbehevosoc.bsky.social @culturalevolsoc.bsky.social www.cambridge.org/core/journal...
cambridge.org
Call for papers
Welcome to Cambridge Core
12429 0
Reposted by Hu Chuan-Peng is on paternity leave
DFG-funded Research Unit "Beyond Crazy" @beyond-crazy.bsky.social · 18/09/2026
We are delighted (and soooooo happy) that the DFG will fund the first four years of our Research Unit “𝗕𝗲𝘆𝗼𝗻𝗱 𝗖𝗿𝗮𝘇𝘆: 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗻𝗴 𝗕𝗲𝗻𝗲𝗳𝗶𝘁𝘀 𝗶𝗻𝘁𝗼 𝘁𝗵𝗲 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀 𝗼𝗳 𝗖𝗼𝗻𝘀𝗽𝗶𝗿𝗮𝗰𝘆 𝗕𝗲𝗹𝗶𝗲𝗳𝘀”. We will seek 8 Ph.D. candidates and a postdoctoral coordinator to start in Spring 2027.
3218 0
Reposted by Hu Chuan-Peng is on paternity leave
Jan Vanhove @janhove.bsky.social · 18/09/2026
New blog post: "Cluster analysis: A skeptic’s guide". In which I ask a few questions that social scientists wishing to identify hidden classes in their data ought to address. janhove.github.io/posts/2026-0...
A two-dimensional scatterplot showing a three-cluster solution.

Caption: "Figure 2: A visualisation of a Latent Profile Analysis fit. Such visualisations may help readers appreciate that the clusters aren’t nicely separated and that the researchers’ notion of clusters may not correspond to their own."Table of contents:

Refresher: What is cluster analysis?
What are the clusters for?
What clusters, exactly?
Does the pipeline work?
What does the solution look like?
When running follow-up analyses, how is the uncertainty in the cluster assignments taken into account?
Was it worth it?
Conclusion
References
416647 0
Reposted by Hu Chuan-Peng is on paternity leave
Simon Columbus @simoncolumbus.bsky.social · 18/09/2026
Today's Cooperation Colloquium
013 0
Hu Chuan-Peng is on paternity leave @hcp4715.bsky.social · 17/09/2026
definitely a cool big team science!
020 0
Reposted by Hu Chuan-Peng is on paternity leave
Prof Sarah-Jayne Blakemore @sjblakemore.bsky.social · 15/09/2026
Last year, I was honoured to give the Huttenlocher Lecture at the @fluxsociety.bsky.social conference. Over the past year, I’ve been writing it into a paper: The developing adolescent brain: Implications for youth justice and children in criminal proceedings www.sciencedirect.com/science/arti...
14016 0