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...

New perspective piece with @mandanas.bsky.social: We argue, based on LLMs and old connectionist theories, that schemas shouldn't be viewed as distinct from semantic or episodic memories. They're just one end of a detailed-to-abstract memory spectrum: www.cell.com/neuron/fullt... #NeuroAI 🧠📈 🧪

The schema spectrum: Emergent structures and levels of abstraction in AI and the brain

Motivated by generative AI, Samiei et al. argue against classical models that treat schemas as distinct memory structures. Instead, they propose that schemas are merely a conceptual tool describing ho...

cell.com

🚨 Applications are open! 🚨 Join MESEC’s 2026 Summer Workshop: ⭐️Computational Modelling for Consciousness Science: From Fragmentation to Integration⭐️ 📍 Carcassonne, France 📅 29 Aug–5 Sept 2026 🗓️ Deadline: 29 May 2026 More info and applications here: mesec.co/event/worksh...

🚨🚨JOB ALERT🚨🚨 I'm hiring a cogsci/philosophy/compneuro postdoc at @ucl.ac.uk @uclbrainscience.bsky.social @uclpals.bsky.social! www.jobs.ac.uk/job/DRH486/p... Come to London & work on frameworks for "testing" for consciousness using Bayesian belief updating & latent variable modeling. Pls share!

Postdoctoral Research Fellow at UCL

Discover Postdoctoral Research Fellow jobs and more in higher education on jobs.ac.uk. Apply for further details on the top job board.

jobs.ac.uk

Would love to get some colleagues at the intersection of NLP and CogSci. Reach out if you have any questions! Deadline: 31-Jul-2026

𝐍𝐞𝐰 𝐏𝐲𝐇𝐆𝐅 𝐫𝐞𝐥𝐞𝐚𝐬𝐞 (𝐯0.2.10), featuring an early draft of local-only deep predictive coding networks. Get prospective configuration-like behaviours for a fraction of the compute cost. Work in progress... 📦Code: github.com/Computationa... 📓Tutorial: computationalpsychiatry.github.io/pyhgf/notebo...

New article with @oudietted.bsky.social and the @dreamteamicm.bsky.social Dream-like mental states can occur during wakefulness Published now in @cp-cellreports.bsky.social www.cell.com/cell-reports... Congrats to Nicolas Decat!

🥳Happy to share that we have three papers accepted to #ICLR2026. Congrats to our authors and see you in Rio🌴🇧🇷. Check the thread for highlights👇

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.

🚀 Excited to announce that I'm looking for people (PhD/Postdoc) to join my Cognitive Modelling group @uniosnabrueck.bsky.social. If you want to join a genuinely curious, welcoming and inclusive community of Coxis, apply here: tinyurl.com/coxijobs Please RT - deadline is Jan 4‼️

Lilian Weber@lilweb.bsky.social · 12mo ago

In other news, I am now a ✨ COXI ✨ (cognitive scientist in Osnabrück, Germany) www.uni-osnabrueck.de/en/campus-li... I'll be looking for PhD students & postdocs later this year, so watch this space if combining cognitive modelling, EEG & tFUS to study flexible cognition sounds exciting to you 🚀

** Recruiting a postdoc ** We are looking for a postdoc to work on emotion, mental health, and interoception, based in London at @ucl.ac.uk in my lab (Clinical and Affective Neuroscience). Part of a large Wellcome Grant (co-led with the brilliant @camillanord.bsky.social)

Thrilled that our paper is out today in Nature! www.nature.com/articles/s4...

Sensory expectations shape neural population dynamics in motor circuits

Nature - Experiments with human volunteers and macaques show that expectations produced by probabilistic cueing of future sensory inputs shape motor circuit dynamics in order to increase the...

nature.com

Pleased to share new work with @sflippl.bsky.social @eberleoliver.bsky.social @thomasmcgee.bsky.social & undergrad interns at Institute for Pure and Applied Mathematics, UCLA. Algorithmic Primitives and Compositional Geometry of Reasoning in Language Models www.arxiv.org/pdf/2510.15987 🧵1/n

We discovered that language models leave a natural "signature" on their API outputs that's extremely hard to fake. Here's how it works 🔍 📄 arxiv.org/abs/2510.14086 1/

Every Language Model Has a Forgery-Resistant Signature

The ubiquity of closed-weight language models with public-facing APIs has generated interest in forensic methods, both for extracting hidden model details (e.g., parameters) and for identifying...

arxiv.org

www.nature.com/articles/s41...

A brain-inspired agentic architecture to improve planning with LLMs - Nature Communications

Multi-step planning is a challenge for LLMs. Here, the authors introduce a brain-inspired Modular Agentic Planner that decomposes planning into specialized LLM modules, improving performance across tasks and highlighting the value of cognitive neuroscience for LLM design.

nature.com

Online Now: Cognitive modeling of real-world behavior for understanding mental health

Cognitive modeling of real-world behavior for understanding mental health

A core strength of computational psychiatry is its focus on theory-driven research, in which cognitive processes are precisely quantified using computational models that formalize specific theoretical mechanisms. However, the data used in these studies often come from traditional laboratory-based cognitive tasks, which have unclear ecological validity. In this review we propose that the same theoretical frameworks and computational models can be applied to real-world data such as experience sampling, passive data, and digital-behavior data (e.g., online activity such as on social media). In turn, modeling real-world data can benefit from a theory-driven computational approach to move from purely predictive to explanatory power. We illustrate these points using emerging studies and discuss the challenges and opportunities of using real-world data in computational psychiatry.

dlvr.it

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

Happy to announce our paper got accepted to #NeurIPS! @akjagadish.bsky.social @marvinmathony.bsky.social @ericschulz.bsky.social & Tobi Ludwig arxiv.org/abs/2502.00879

Generating Computational Cognitive Models using Large Language Models

Computational cognitive models, which formalize theories of cognition, enable researchers to quantify cognitive processes and arbitrate between competing theories by fitting models to behavioral data....

arxiv.org

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🧠📈

I’m especially proud of this article I wrote about Gaussian Processes for the Recast blog! 🥳 GPs are super interesting, but it’s not easy to wrap your head around them at first 🤔 This is a medium level (more intuition than math) introduction to GPs for time series. getrecast.com/gaussian-pro...

"The day the paper was published should have been a moment of pride. Instead, it felt like a quiet erasure." #ScienceWorkingLife https://scim.ag/4p3eH5g

I made this Computational Psychiatry Starter Pack a while ago and was wondering if I may be missing anyone who has joined bluesky since? I will add anyone who uses computational models to adress questions in psychiatry research. :) go.bsky.app/5PTy9Zj

My first, first author paper, comparing the properties of memory-augmented large language models and human episodic memory, out in @cp-trendscognsci.bsky.social! authors.elsevier.com/a/1lV174sIRv... Here’s a quick 🧵(1/n)

After five years of confused staring at Greek letters, it is my absolute pleasure to finally share our (with @smfleming.bsky.social) computational model of mental imagery and reality monitoring: Perceptual Reality Monitoring as Higher-Order inference on Sensory Precision ✨ osf.io/preprints/ps...

Our new paper is out in PNAS: "Evolving general cooperation with a Bayesian theory of mind"! Humans are the ultimate cooperators. We coordinate on a scale and scope no other species (nor AI) can match. What makes this possible? 🧵 www.pnas.org/doi/10.1073/...

Evolving general cooperation with a Bayesian theory of mind | PNAS

Theories of the evolution of cooperation through reciprocity explain how unrelated self-interested individuals can accomplish more together than th...

pnas.org

memo is a new probabilistic programming language for modeling social inferences quickly. Looks like a real advance over previous approaches: fast, python-based, easily integrated into data analysis. Super cool! pypi.org/project/memo... and osf.io/preprints/ps...

memo-lang

A language for mental models

pypi.org

Thrilled to see our TinyRNN paper in @nature! We show how tiny RNNs predict choices of individual subjects accurately while staying fully interpretable. This approach can transform how we model cognitive processes in both healthy and disordered decisions. doi.org/10.1038/s415...

Discovering cognitive strategies with tiny recurrent neural networks - Nature

Modelling biological decision-making with tiny recurrent neural networks enables more accurate predictions of animal choices than classical cognitive models and offers insights into the underlying cog...

doi.org

Interoception vs. Exteroception: Cardiac interoception competes with tactile perception, yet also facilitates self-relevance encoding https://www.biorxiv.org/content/10.1101/2025.06.25.660685v1

Also in @cp-trendscognsci.bsky.social this month, a perspective by @philcorlett.bsky.social and a new computational model of paranoia and persecutory delusions @philcorlett.bsky.social www.cell.com/trends/cogni...

Pseudosocial cognition and paranoia

It has been argued that social processes are relevant to belief formation and maintenance and thence to persecutory delusions – the fixed false beliefs that others intend harm. We call this the social...

cell.com

Impressive and much-needed review on reinforcement learning models of interoception by @lilweb.bsky.social this month out in @cp-trendscognsci.bsky.social Will definitely have a look at this one 😊 www.cell.com/trends/cogni...

The interoceptive origin of reinforcement learning

Rewards play a crucial role in sculpting all motivated behavior. Traditionally, research on reinforcement learning has centered on how rewards guide learning and decision-making. Here, we examine the ...

cell.com