Computational models are a key part of science but discovering new ones is hard! DataDIVER discovers concise models from data, which surface new mechanistic ideas and clear predictions for future experiments From Google Deepmind Neuroscience Lab + collaborators www.biorxiv.org/content/10.6...

Tremor is highly heterogeneous, leading to a familiar clinical puzzle: with deep brain stimulation (DBS), we can sometimes suppress a patient's rest tremor almost completely, while action tremor remains bothersome. www.cell.com/cell-reports...

Modeling Speed–Accuracy Trade-Offs in the Stopping Rule for Confidence Judgments! Now out in #PsychologicalReview (aka we can finally say we do comp models)! Led by @stefherregods.bsky.social @lucvermeylen.bsky.social @pierreledenmat.bsky.social Paper: desenderlab.com/wp-content/u... Thread ↓↓↓

Newly released Stockholm Declaration recommends the following reforms to publishing: 1. Academia resumes control of publishing 2. Incentive systems to merit quality, not quantity 3. Independent fraud detection and prevention 4. Legislation and policies to protect science quality and integrity

Reformation of science publishing: the Stockholm Declaration | Royal Society Open Science

Science relies on integrity and trustworthiness. But scientists under career pressure are lured to purchase fake publications from ‘paper mills’ that use AI-generated data, text and image fabrication....

royalsocietypublishing.org

The current environment is making it near impossible to run clinical trials in the UK. One key issue discussed in @brain1878.bsky.social is the duplication - or worse - of regulatory oversight at NHS hospitals & universities. My views on how to change the system academic.oup.com/brain/articl...

Check out our reviewed preprint, now out in eLife! With @spk3lly.bsky.social, @redmondoconnell.bsky.social and Anna Geuzebroek elifesciences.org/reviewed-pre... While we work on improving the [solid] paper based on the reviews, here are the key take-home messages:

"Learning to be confident: How agents learn confidence based on prediction errors"! Now out in @cognitionjournal.bsky.social led by @pierreledenmat.bsky.social Paper: desenderlab.com/wp-content/u... Thread ↓↓↓ #AcademicSky #PsychSciSky #Neuroscience #Neuroskyence

Introducing hMFC: A Bayesian hierarchical model of trial-to-trial fluctuations in decision criterion! Now out in @plos.org Comp Bio. led by Robin Vloeberghs with @anne-urai.bsky.social Scott Linderman Paper: desenderlab.com/wp-content/u... Thread ↓↓↓ #PsychSciSky #Neuroscience #Neuroskyence

does someone good at coding & analysis want to work remotely w/ us in the coming few months (before end of 2025), as a paid consultant? project will be on neurofeedback (fMRI, ECoG, calcium imaging). we'll work towards developing the experiments & analysis pipelines together. if so pls DM me ur CV🧠📈

Our newest preprint is out (doi.org/10.1101/2025.06.05.658071), with @lucvermeylen.bsky.social,Dasha Monakhovych, Cameron McCabe, Sarah-Louise Mannion, @kobedesender.bsky.social, @redmondoconnell.bsky.social, comparing post-decision confidence models against behaviour and neural decision signals...

Neurally-informed modelling unravels a single evidence accumulation process for choices and subsequent confidence reports

Subjective confidence in perceptual choices depends on computations occurring prior to and after choice commitment. However, the nature of these computations remains unclear. Current models disagree o...

doi.org

Led by postdoc Doyeon Lee and grad student Joseph Pruitt, our lab has a new Perspectives piece in PNAS Nexus: "Metacognitive sensitivity: The key to calibrating trust and optimal decision-making with AI" academic.oup.com/pnasnexus/ar... With co-authors Tianyu Zhou and Eric Du 1/

Metacognitive sensitivity: The key to calibrating trust and optimal decision making with AI

Abstract. Knowing when to trust and incorporate the advice from artificially intelligent (AI) systems is of increasing importance in the modern world. Rese

academic.oup.com

Very happy to share this paper, now published in @natcomms.nature.com! nature.com/articles/s41... With @spk3lly.bsky.social and @neuromurphy.bsky.social, we investigated the neural computations that allow us to make near-optimal decisions in changing environments. Here's a short summary:

Dissociable encoding of evolving beliefs and momentary belief updates in distinct neural decision signals - Nature Communications

People are capable of making near-optimal decisions in volatile, changing environments. Here, the authors show how two neural decision signals encode distinct aspects of the belief updating process un...

nature.com

1. LLM-generated code tries to run code from online software packages. Which is normal but 2. The packages don’t exist. Which would normally cause an error but 3. Nefarious people have made malware under the package names that LLMs make up most often. So 4. Now the LLM code points to malware.

David D. Levine@daviddlevine.com · last yr.

LLMs hallucinating nonexistent software packages with plausible names leads to a new malware vulnerability: "slopsquatting."

PhD position in cognitive computational neuroscience! Join us, & investigate how we can endow domain-specific models of vision (eg DNNs) with domain-general processes such as metacognition or working memory. All details => www.kuleuven.be/personeel/jo... #PsychSciSky #Neuroscience #Neuroskyence

PhD position in cognitive computational neuroscience

PhD position in cognitive computational neuroscience

kuleuven.be

Why academia is sleepwalking into self-destruction. My editorial @brain1878.bsky.social If you agree with the sentiments please repost. It's important for all our sakes to stop the madness academic.oup.com/brain/articl...

Ever wondered how basketball players know when their throws are in/out? L. Brun & @perrineporte.bsky.social asked players to rate confidence in their throws under variable visual feedback. Turns out vision helps adjust confidence in successful, but not failed throws: papers.ssrn.com/sol3/papers....

🚨New Pre-print is out! What causes the drift rate to vary across trials? How much does the drift rate variability estimate in the Diffusion Decision Model reflect the true variability? Here, we critically examined this by including trial-level regressors of drift rate. osf.io/preprints/ps...

How is confidence related to confidence RTs? @stefherregods.bsky.social @lucvermeylen.bsky.social and I showcase how our recent EAM of confidence accounts for various relationships observed in empirical data. link: pmc.ncbi.nlm.nih.gov/articles/PMC... #PsychSciSky #Neuroscience #Neuroskyence

Pleased that our work from my previous postdoc with Sanjay Manohar is finally published! Muscarinic antagonism reduces motivation & invigoration in humans, mediated by changes in preparatory EEG signals: doi.org/10.7554/eLif...

Muscarinic receptors mediate motivation via preparatory neural activity in humans

Muscarinic antagonism is causally involved in motivation and incentivisation in healthy human participants, partially mediated via preparatory neural signatures, with implications for cholinergic trea...

doi.org