yinan cao
yinancao.github.io
msca fellow LNC^2 ENS paris, Wyart team
- Amazing resources!
- Reposted by yinan caoNew 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...
- Reposted by yinan cao🧠 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?
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- Reposted by yinan cao🚨🧠🚨 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...
- Reposted by yinan caoNoise 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.
- Reposted by yinan cao1/ 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:
- Reposted by yinan caoMy small tribute to one of my favourite papers ever
- In our latest edition of “This paper changed my life,” @marinopagan.bsky.social reflects on a seminal paper that revealed the complexity of neural population dynamics and the power of recurrent neural networks. #neuroskyence www.thetransmitter.org/this-paper-c...
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- Reposted by yinan cao🚀 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:
- Reposted by yinan caoFirst 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...
- Reposted by yinan caoIn 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
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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 - Reposted by yinan cao[Not loaded yet]
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- Reposted by yinan cao(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...
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- Reposted by yinan caoDeeply 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
