Amazing resources!

New Preprint alert 🚨 “Inter-areal coupling for cognition through coincident oscillatory transients” together with @ycaoneuro.bsky.social @ktsetsos.bsky.social @donnerlab.bsky.social & Andreas Engel #MEG #neuroscience #bioRxiv www.biorxiv.org/content/10.1...

🧠 We’re hiring! Join the Irrationality Lab @ Trinity College Dublin for ERC-funded postdoc positions in Decision Neuroscience. Work with OPM-MEG + computational modeling to uncover how the brain shapes, maintains and revises preferences. Apply & info: www.ktsetsoslab.net/_files/ugd/0... #NeuroJobs

Damn I hope this is true. Can we REALLY trust this?

Comment by Prof @icouzin.bsky.social that explores how collective intelligence emerges from local interactions in animal groups, and how these principles inform the design of swarm robotic systems. @natureportfolio.nature.com @natcomms.nature.com #robotics www.nature.com/articles/s41...

🚨🧠🚨 POSTDOC POSITION 🚨🧠🚨 in my lab: www.ru.nl/en/working-a... Connectivity in Working Memory. Deadline 12 Nov! Apply via website; please repost.

🚀Our new chapter is out, “Perspectives on the Mechanistic Underpinnings of Choice Biases,” written with @ktsetsos.bsky.social and published in Decision Making: Mechanisms and Applications (edited by Carsten Murawski, Ulrich Ettinger, and Bert Heinrichs): link.springer.com/book/10.1007...

Noise ceilings are really useful: You can estimate the reliability of your data and get an index of how well your model can possibly perform given the noise in the data. But, contrary to what you may think, noise ceilings do not provide an absolute index of data quality. Let's dive into why. 🧵

first paper with valentin wyart.

1/ New paper by Hame Park, (@AraziAyelet), Bharath Talluri, Marco Celotto, Stefano Panzeri, Alan Stocker & Tobias Donner published in Nature Communications – “Confirmation Bias through Selective Readout of Information Encoded in Human Parietal Cortex”: rdcu.be/etlR7. Here is a summary:

My small tribute to one of my favourite papers ever

“Legal decisions are not totally arbitrary, like a lottery. However, they still fall short of the expected standards” —often through irrelevant influences, like cognitive biases: buff.ly/o2uruLU

. @kordinglab.bsky.social 's substack is great. Lots of food for thought from one of the most piercing thinkers in NeuroAI. kording.substack.com/p/why-are-we...

Our latest findings showing how internal and external visual selection do not necessarily ‘take turns’ but can run in parallel, led by @baiweiliu.bsky.social. www.biorxiv.org/content/10.1...

Scientists use VR + lab + field study to rewrite the rules of locust swarming 🦗🦗 Latest @science.org from first author @sercansayin.bsky.social and #Konstanz team ⬇️ @einatcouzin.bsky.social @icouzin.bsky.social @cbehav.bsky.social @uni-konstanz.de www.science.org/doi/10.1126/...

🚀 New paper out in Psychological Review! How does learning change across the lifespan? We propose that resource rationality—adapting belief updating to cognitive limitations—can explain age-related differences in learning. 📖 doi.org/10.1037/rev0... 👇 A short thread:

First preprint from our lab! An @jerlich.bsky.social collaboration We developed novel frameworks to study multi-agent decisions in mice. Mice flexibly shift their decision preference under social competition, by integrating real-time self and opponent information! www.biorxiv.org/content/10.1...

In our new @commspsychol.bsky.social review, we explore how humans adjust learning to different types of uncertainty, why biases arise, and what this reveals about learning and psychiatric conditions. 📖 Read more: nature.com/articles/s44... With Matt Nassar & @haukeren.bsky.social

We have an opening for a 12 month Research Assistant post, funded by an ERC grant. The postholder would help with several neuroimaging projects, including MEG and 7T fMRI. Please repost and share with anyone who may be interested. www.ucl.ac.uk/work-at-ucl/... #neuroskyence #Neuroimaging

The latent circuit model identifies low-dimensional mechanisms of task execution from heterogeneous neural responses. This approach revealed a latent inhibitory mechanism for context-dependent decisions in neural network models and prefrontal cortex 🧪🧠 www.nature.com/articles/s41...

Using a novel method for isolating cognitive and motor neural dynamics reveals that dynamics often attributed to cognitive processes were corrupted by movements and that distinct populations of neurons encode cognitive and motor variables 🧪🧠 www.nature.com/articles/s41...

(1/30) New preprint! "Symmetries and continuous attractors in disordered neural circuits" with Larry Abbott and Haim Sompolinsky bioRxiv: www.biorxiv.org/content/10.1...

This is an elegant dispatch summarising our study on mFC schema from Sina Tafazoli Adel Ardalan and @timbuschman.bsky.social Really beautifully explained! "Cognitive neuroscience: How the brain navigates abstract task spaces" www.cell.com/current-biol...

Check our latest in which we leverage shape metrics to compare neural geometry across regions, sessions or subjects and how their differences predict behavior. w/ Nejatbakhsh, Duong, @sarah-harvey.bsky.social, Brincat, @siegellab.bsky.social, @earlkmiller.bsky.social & @itsneuronal.bsky.social

Deeply honoured to receive an #ERCCoG ERC Consolidator Grant to explore the Dynamics of Attribute Weighting in Multiattribute Choice. Grateful to my amazing ERC StG team: @ycaoneuro.bsky.social, @marcussiems.bsky.social , Maryam Tohidi, Molly Stapleton for their support and trust. 🙏@ERC_Research

@ktsetsos.bsky.social and I wrote a new Perspective paper: osf.io/preprints/ps... We've long known that decisions can be biased by normatively irrelevant factors. But how do these biases arise in the brain?