Bonan Zhao / 赵博囡
@BonanZhao
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PI of the Computational Cognitive Science Lab at the School of Informatics, University of Edinburgh.
Joined December 2013
RT @RTomMcCoy: 🤖🧠 NEW PAPER ON COGSCI & AI 🧠🤖. Recent neural networks capture properties long thought to require symbols: compositionality,….
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My Lab at the University of Edinburgh🇬🇧 has funded PhD positions for this cycle!. We study the computational principles of how people learn, reason, and communicate. It's a new lab, and you will be playing a big role in shaping its culture and foundations. Spread the words!
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RT @JQ_Zhu: I'll be joining the University of Hong Kong (at Asia's World City) as an Assistant Professor of Psychology this October, where….
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RT @keyonV: Can an AI model predict perfectly and still have a terrible world model?. What would that even mean?. Our new ICML paper formal….
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RT @JQ_Zhu: Centaur may have learned a shortcut that explains away psychological tasks. @PsychBoyH . Link to preprint: .
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RT @maxhkw: I’m recruiting PhD students to join the Computational Minds and Machines Lab at the University of Washington in Seattle! Join u….
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RT @Ikuperwajs: New review on computational approaches to studying human planning out now in @TrendsCognSci! Really enjoyed having the oppo….
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RT @noahdgoodman: It turns out that a lot of the most interesting behavior of LLMs can be explained without knowing anything about architec….
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RT @marcelomattar: Thrilled to see our TinyRNN paper in @nature! We show how tiny RNNs predict choices of individual subjects accurately wh….
nature.com
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...
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RT @TadegQuillien: Our paper on the logic of guesses is now out (w/ @NeilBramley and Chris Lucas). We provide a new information-theoretic….
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RT @RMBattleday: 📢 Abstract deadline extended (to rolling) for our conference on the Mathematics of Neuroscience and AI (Split, 27-30 May)….
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RT @RajaMarjieh: 1/n LLMs learn to represent numbers by predicting tokens in text. This poses a challenge: depending on context, the same s….
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RT @gianlucabencomo: New pre-print! In this work, we explore the extent to which different inductive biases can be instantiated among dispa….
arxiv.org
Artificial neural networks can acquire many aspects of human knowledge from data, making them promising as models of human learning. But what those networks can learn depends upon their inductive...
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RT @pcastr: Can LLMs be used to discover interpretable models of human and animal behavior?🤔. Turns out: yes!. Thrilled to share our latest….
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RT @RLDMDublin2025: *Call for Abstracts*. Submit your abstracts on "learning and decision-making over time to achieve a goal" to #RLDM2025….
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RT @emilyliquin: I’ll be considering applications for a PhD student to start in Fall 2025! I’ve been having a blast starting up the Explora….
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RT @gershbrain: @du_yilun and I are planning to hire a postdoc next year to work at the intersection of natural and artificial intelligence….
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RT @cocosci_lab: The new Princeton AI Lab has positions for AI Postdoctoral Research Fellows for three research initiatives: AI for Acceler….
ai.princeton.edu
Find and learn more about our open positions.Join our team
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