🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

Want the Cliff notes re what we've been up to in the last ten years, uncovering how the brain learns to represent tasks in ways that promote efficient learning and decision making? Here ya go. A million thanks to my awesome lab, past and present!! nature.com/articles/s4159…

Our opinion piece that deep learning should guide neuroscience research just came out: nature.com/articles/s4159…

Sometimes, when you meet a Nature editor at a conference and start ranting about theory and measurement, they ask you to write about it. Here's a very short thing I wrote. nature.com/articles/d4158…

Transfer of information across repeated decisions in general and in obsessive–compulsive disorder pnas.org/content/118/1/…

It's pretty awesome how dancing makes robots less intimidating. Looking forward to seeing more nontrivial Machine Learning on these robots. Credit: Boston Dynamics.

New study with Qingtian Mi & Colin Camerer showing that the human brain reads between the lines through rational, automatic, and context-specific simulation of the speaker's choices in the vmPFC. advances.sciencemag.org/content/7/10/e…

Our new #neuroscience Associate Editor, Lusha Zhu, is "most excited to handle papers that seek insight into the neural computations underlying decision making, in both healthy and clinical populations." Please join us in welcoming LushaZhu Lab to the PLOS CB editorial board

OVER THE MOON to share this paper just out in @science_mag! How does the prefrontal cortex help us navigate group interactions? Neurons in the dmPFC code for the agency identity of others, i.e., can link the identities of others with their behaviors science.org/doi/10.1126/sc… 1/

Massive status bias in peer review. 534 reviewers randomized to review the same paper revealing the low status, high status, or neither author. 65% reject low status, 23% reject high status. Amazing work by Juergen Huber and colleagues. #prc9

Amazing little animation, created by We are Cognitive, explains what The Social Instinct is about. Paperback is out tomorrow! cc Will Francis Penguin Random House 🐧🏠📚 Vintage Books youtube.com/watch?v=Mv1hTT…

We need a cognitive science of scholarship, starting with the recognition that attention is limited: you can't read everything. Historically, we have had journals that function as an attentional filter.

Why and how does the human brain bias the aggregation of information transmitted through social networks? Check out our latest paper just out on Nature Neuroscience. nature.com/articles/s4159… Shout out to my excellent collaborators Yaomin Jiang and Qingtian Mi

A nice, non-technical explanation of our paper on why and how the human brain biases integration of information transmitted on social networks. Check it out! nature.com/articles/s4159….

A picture is more than a thousand words😀 We love this cover, designed by Shiyu Wang, a former grad student at PKU and a very talented artist with a PhD in psychology.

If you are at #SRCD2023, please stop by this poster presented by Cong Wang. The finding, based on n>540 adolescents and computational modeling approach to development, is quite amazing ^_^

If you'll be at #CNS2023, stop by the data blitz & poster by Wu Hai-Tao(E100). It investigates an interesting difference in building internal maps for physical vs conceptual spaces––concepts are often incomparable & the brain needs to decide the relative metric for mapping them.

Looking forward to the theoretical and computational neuroscience summer school this July in Beijing. Cool lecturers including Dmitri "Mitya" LushaZhu Lab Nao Uchida and Hang Zhang. Apps due April 1.

🚀COSMOS is BACK!!!💫 The Computational School on Modeling Social and collective behavior (COSMOS) will take place in RIKEN, Tokyo, between 29 Sept - 3 Oct, organised by me and fantastic Charley Wu (@thecharleywu.bsky.social) ! Application deadline: 25th April. More details 👉️ cosmossummerschool.github.io