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Tianyuan Teng

@tyteng.bsky.social

Postdoc at MPI Biological Cybernetics. Interested in intelligence and problem-solving in general, and happened to end up working on hierarchical stuff in recent years.

Posts Replies Media

Reposted by Tianyuan Teng

CMC Unit @cmc-unit.bsky.social · 27/09/2026

We now have open positions in both of our research hubs: a postdoc position at MPI for Biological Cybernetics (Tübingen) and a PhD position at TU Dresden (Dresden), co-supervised by @neuroprinciplist.bsky.social and @roxana-zeraati.bsky.social. See below for more information 👇

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Reposted by Tianyuan Teng

Niklas Buergi @niklasbuergi.bsky.social · 09/09/2026

Autism has long been linked to difficulties with Theory of Mind. But what exactly is driving these differences? And what happens in the brain? In our new preprint, we show that adaptive mentalization might be key. A 🧵 #CogSci #CogNeuro osf.io/preprints/ps...

Repeated Rock-Paper-Scissors task used to study adaptive mentalization, alongside a schematic showing increasingly sophisticated reasoning strategies, from responding to past actions to trying to guess the opponent’s prediction about one’s own next action

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Reposted by Tianyuan Teng

Alireza Modirshanechi @modirshanechi.bsky.social · 15/08/2026

Excited to share that I'll be starting as a junior professor and Emmy Noether awardee at the University of Göttingen this October! 🥳 🚀 I'll be hiring #phd students and #postdoc across #machinelearning, #neuroscience and #cogsci: modirlab.github.io/open-positio... Please spread the word! 🙏

Information about Göttingen and equal opportunities

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Tianyuan Teng @tyteng.bsky.social · 13/08/2026

You'd think people prefer the simplest explanation of an uncertain world — Occam's razor. Our data says no, across 2 modalities, 2 tasks, 8 experiments: people often perceive illusory structure that isn't there and prefer moderate complexity. Out now in Nature Comms! www.nature.com/articles/s41...

nature.com

Human learning of probability distributions is biased toward moderate structural complexity - Nature Communications

Humans build internal models from online observations to adapt to new environments. Here, the authors show that individuals are biased towards building models with moderate structural complexity, rega...

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