🚨Update: Our analysis of global APC expenditure has now been expanded to cover more publishers (7 -> 14) and more years (2019-2025). We estimate $15B in APCs paid over seven years, $3.7B in 2025 alone. Elsevier crosses the $1B threshold by itself in 2025. arxiv.org/abs/2608.16322 #ScholComm

Eric Schares@eschares.bsky.social · 2y ago

🚨 Preprint! We combine our recent open dataset of #APC prices with the article counts per journal-year from #OpenAlex to estimate how much the academic community has paid in APCs over the last 5 years. A. $8.349 billion ($8.968 B in 2023 USD) $2.5B in 2023 alone. arxiv.org/abs/2407.16551 #metasci

Writing this story was so unbelievably fun. And not only bc @mcxfrank.bsky.social says quotes like this: “Kids’ experience looks really radically different than we thought ... They’ve got these little short arms, so the objects are, like, right in front of them. And they live in a forest of knees.”

Alison Gopnik@alisongopnik.bsky.social · last wk.

Good piece on why kids beat AI at learning, with Mike Frank and me. Behind a paywall but available elsewhere. www.technologyreview.com/2026/08/24/1...

I enjoyed writing this piece for The Transmitter. AI is a seismic change for science. What we make of it is up to us, but it’s a decision we can only make collectively. I hope more labs, and the field at large, will engage in finding a shared view of how we want to use AI.

The Transmitter @thetransmitter.bsky.social · last wk.

With agentic AI’s rapid infiltration into science, researchers need to develop AI use policies and practices, writes @nicoschuck.bsky.social. #neuroskyence www.thetransmitter.org/artificial-i...

The title is a little pointed, but I am very serious here. Academics, medical researchers, and other organisations should not collect data on birth sex. It is rarely relevant, and it almost always leads to privacy violations for transgender people. Please share. I would like people to read this one.

Separating sex and gender is statistical malpractice – Notes from a data witch

Statisticians and academics in Australia should ignore the terrible advice of most LGBTIQA+ organisations and read this post instead. The 2020 ABS standard is almost never the correct way to collect d...

blog.djnavarro.net

***New preprint from the lab*** showing “Generative replay across hippocampal-neocortical circuits”. In sleep we show spiking sequences in V1 (sensory neocortex!) that represent information that has not been directly experienced www.biorxiv.org/content/10.6... @bndu.ox.ac.uk @ndcnoxford.bsky.social

Generative replay across hippocampal-neocortical circuits

To make flexible decisions, the brain needs to make inferences between events that were not directly experienced together. In sharp-wave ripple (SWR) events, during periods of rest and sleep, spiking ...

biorxiv.org

📣Going to #cpconf? Come see @luiantaverra.bsky.social A2 Tue 9am, Bidirectional relationship between aversive beliefs + avoidance & its association with transdiagnostic symptoms @alexnitsch.bsky.social B43 Wed 3:15pm, The role of aversive replay in avoidance behaviors in psychiatric disorders

We're finally getting the tools to study replay in humans. But why bother? What can we learn from it that we don't know from rodent recordings? Our thoughts are now out in a new TICS Forum Great fun writing this w @smfleming.bsky.social + @maritpetzka.bsky.social authors.elsevier.com/sd/article/S...

What can we learn from studying replay in humans?

Noninvasive methods are making it possible to study neural replay in humans. Although focused on alignment with rodent findings, human research often …

authors.elsevier.com

🧠 New preprint! How well can current algorithms *actually* detect neural "replay" in the human brain under absolutely optimal conditions? We built FASTIMAGES: A combined MEG + fMRI benchmark with KNOWN neural sequences, so replay-detection methods can finally be validated against a ground truth.

FASTIMAGES: Validating replay detection methods in human neuroimaging

A combined MEG + fMRI benchmark dataset with known neural sequences to validate replay detection methods (TDLM and SODA).

cimh-clinical-psychology.github.io

I thoroughly enjoyed giving this two-day workshop on Research Data Management @rtg2753.bsky.social @uni-hamburg.de ✨ Awesome to contribute to researchers’ structured training in #OpenScience 💪 Looking for a trainer? Check out my portfolio and get in touch: lennartwittkuhn.com/consulting.h...

RTG Emotional Learning and Memory@rtg2753.bsky.social · 3mo ago

Two workshops on better science for our RTG members. Dr. Lennart Wittkuhn on Research Data Management: organising data, DMPs, version control & BIDS @tinalonsdorf.bsky.social on Open Science: open data, pre-registration, registered reports & open access 🔗: www.emotionalmemory.de/news/open-sc...

@skjerns.de digs deeper into methods for non-invasive replay detection in human MEG and fMRI data. Check it out:

Nico Schuck@nicoschuck.bsky.social · 3mo ago

Interested in human replay and solid methods? Jointly with @skjerns.de we're releasing a benchmark dataset with known ground-truth neural sequences in MEG & fMRI, for developing & validating replay methods. First test: existing methods show similar effect sizes, but room to improve shorturl.at/6TgIr

How fast agentic AI has changed our work is head-spinning and there's been a lot of debate in our lab. So we drafted guidelines to help navigate this new reality. Sharing here in the hope it’s useful for others & curious to hear thoughts schucklab.gitlab.io/ai-policy.html #AcademicSky #compneurosky

Can we really measure replay in humans using MEG with current methods? In our most recent paper we simulated replay under realistic conditions via a novel hybrid approach with astonishing results. we're delighted that it has now been published @elife.bsky.social! elifesciences.org/articles/108...

TDLM-Resting-State Simulation

How sensitive is TDLM really? Can we actually find replay when we know it is present?

cimh-clinical-psychology.github.io

How do we achieve few-shot generalization? New work led by @fabianrenz.bsky.social dives into the role of replay in learning and using structure to generalize reward. Dream team effort with Shany Grossman @nathanieldaw.bsky.social Peter Dayan & @doellerlab.bsky.social www.biorxiv.org/content/10.6...

Really thrilled that this paper led by @neurozz.bsky.social is now published in its final version in @elife.bsky.social!! This is a memory-focused (as opposed to RL-focused) account of the detailed characteristics of forward and backward awake and sleep replay! elifesciences.org/articles/99931

A unifying account of replay as context-driven memory reactivation

A context-driven memory model simulates a wide range of characteristics of waking and sleeping hippocampal replay, providing a new account of how and why replay occurs.

elifesciences.org

With some trepidation, I'm putting this out into the world: gershmanlab.com/textbook.html It's a textbook called Computational Foundations of Cognitive Neuroscience, which I wrote for my class. My hope is that this will be a living document, continuously improved as I get feedback.

Grading and googling hallucinated citations, as one does nowadays, and now that LLMs have been around for a while, I've discovered new horrors: hallucinated journals are now appearing in Google Scholar with dozens of citations bc so many people are citing these fake things

AI-generated content is a real concern. But so are overblown takes like “AI writes half the internet”. Source article has limitations (small, biased sample; English-only, crawlable pages; imperfect AI detection). Implications (e.g., for what people read online) are questionable. We need more nuance.

Hetan Shah@hetanshah.bsky.social · 9mo ago

Your universe is a photocopy of a photocopy of a… on.ft.com/4ahkNKa

🚨 SynthNet is out 🚨 Researchers propose new constructs and measures faster than anyone can track. We (@anniria.bsky.social @ruben.the100.ci) built a search engine to check what already exists and help identify redundancies; indexing 74,000 scales from ~31,500 instruments in APA PsycTests. 🧵1/3

New(ish) paper! It's often said that hippocampal replay, which helps to build up a model of the world, is biased by reward. But the canonical temporal-difference learning requires updates proportional to reward-prediction error (RPE), not reward magnitude 1/4 rdcu.be/eRxNz

Post-learning replay of hippocampal-striatal activity is biased by reward-prediction signals

Nature Communications - It is unclear which aspects of experience shape sleep’s contributions to learning. Here, by combining neural recordings in rats with reinforcement learning, the...

rdcu.be

I recently discovered Conventional Comments (conventionalcomments.org) for providing a pseudo-standard set of labels for feedback and just tried it for an article review and it was really helpful to specify issues vs. thoughts vs. suggestions, etc. Hopefully it's helpful for the authors too!

🚀 We are hiring! 🚀 🔍 Join us as a Postdoctoral Researcher (fully-funded) at the Helmholtz Institute for Human-Centered AI in Munich.

Introducing CorText: a framework that fuses brain data directly into a large language model, allowing for interactive neural readout using natural language. tl;dr: you can now chat with a brain scan 🧠💬 1/n

Had a fantastic time giving a full-day workshop on Version Control with Git for Research @rtg2660.bsky.social @uni-wuerzburg.de 💫 Big thanks to organizer @leahilde.bsky.social! 🙏 As always, open materials at lennartwittkuhn.com/version-cont... 🌷

Ten Simple Rules for AI-Assisted Coding in Science arxiv.org/abs/2510.22254 - our latest, led by @ericwbridgeford.bsky.social

Ten Simple Rules for AI-Assisted Coding in Science

While AI coding tools have demonstrated potential to accelerate software development, their use in scientific computing raises critical questions about code quality and scientific validity. In this pa...

arxiv.org

🚀 We’re hiring - Join our lab 🚀 🔍 Hiring: PhD (75% TV-L) & Postdoc (100% TV-L) 🧠 fMRI, VR, EEG, modelling We combine a range of cognitive neuroscience methods to study flexible behaviour. 📅 Start: Feb 2026 or later | ⏳ Apply by Nov 3! More details: tinyurl.com/ms3a9ajt #CognitiveNeuroscience

If you're an undergrad student in North America, UK or Ireland, consider coming to Hamburg for a cool DAAD internship on prediction error effects on memory! Hosted by yours truly, @nicoschuck.bsky.social & @stresscognition.bsky.social. 📨 until Nov 30: Hamburg_BI_0606 www.daad.de/rise/rise-germany

Do you know the secret to training and testing reliable cross-condition decoders in neural data? 🧠 🔍 Take part in this Kaggle challenge and win up to 1000$! 💸 Very cool idea by @skjerns.de! ✨

Simon Kern@skjerns.de · 10mo ago

How well do classifiers trained on visual activity actually transfer to non-visual reactivation? #Decoding studies often rely on training in one (visual) condition and applying it to another (e.g. rest-reactivation). However: How well does this work? Show us what makes it work and win up to 1000$!

🏡 🏳️‍🌈 ❤️ ☔ How to set up a transparent and supportive lab environment? I would love to hear from you, PIs postdocs, students! What are the things that work and that don't, what do you wish to have in place? Any examples of lab manuals? Comments, DMs or emails welcome (ondrej.zika@pm.me)

😍 Our latest is out now in @commspsychol.nature.com. 🤩 We show with Bayesian modelling and experimental manipulation of uncertainty that developmental differences in social influence depend on differences in the internal uncertainty people have about their choice doi.org/10.1038/s442...

Internal uncertainty impacts social information use in risky choice across adolescence - Communications Psychology

Adolescents’ choices are influenced by others. A social risky choice experiment and Bayesian modelling reveal that age differences in internal uncertainty, being unsure how to choose, relate to differences in susceptibility to social influence.

doi.org

Feeling *gitty* about this fall with two exciting workshops on Version Control with Git for Scientists coming up @mpib-berlin.bsky.social and @rtg2660.bsky.social @uni-wuerzburg.de! ✨ Sounds interesting? Check out my website, where I share course materials: lennartwittkuhn.com 💫 #OpenScience #Git