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Chenyu Li

@chenyuli.bsky.social

Postdoctoral Fellow in the Awh–Vogel Lab at the University of Chicago. Former member of the Cognition Lab at the University of Zurich. Interested in working memory, computational modeling, and individual differences in cognitive abilities.

77 Followers  |  62 Following  |  4 Posts  |  Joined: 28.02.2024
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Posts by Chenyu Li (@chenyuli.bsky.social)

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UZH: Postdoctoral Position Research at the Zurich Cognitive Psychology Unit focuses on capacity limits of cognition, in particular working memory, long-term memory, and attention, which we investigate with experimental, individ...

We're looking for a postdoc starting this summer to join our efforts in understanding the capacity limits of cognition: jobs.uzh.ch/job-vacancie...

23.02.2026 03:47 — 👍 20    🔁 18    💬 0    📌 2

But as we mentioned in our Discussion section, if participants can complete the processing task based on perceptual information (for example, clicking on the red object), the distractors may not necessarily be encoded into working memory.

20.02.2026 15:57 — 👍 2    🔁 0    💬 0    📌 0

To me, working memory seems to be the system that temporarily holds the representations of these two objects and processes size information (as it is defined).

I am not quite familiar with the concept of mental space. How does it differ from working memory?

20.02.2026 15:57 — 👍 2    🔁 0    💬 3    📌 0

Good question! In our study, we asked participants to determine the real-world size of two objects (for example, an apple versus an elephant) and click on the larger or smaller one. Therefore, they had to use the object images as cues to retrieve size information from long-term memory.

20.02.2026 15:57 — 👍 2    🔁 0    💬 1    📌 0
APA PsycNet

Can We Process Information Without Encoding It into Working Memory?

Our findings with @gidon-frischkorn.bsky.social and @koberauer.bsky.social suggest that processing entails encoding. Task-irrelevant information enters working memory during processing, impairing memory for relevant information.

19.02.2026 16:26 — 👍 20    🔁 9    💬 1    📌 1
Professorship for Cognitive Psychology | Department of Psychology | UZH

Postdoctoral researcher (80%) in Cognitive Psychology, University of Zurich, Zurich, Switzerland

The successful applicant will work with the head of the Cognitive Psychology Unit, Klaus Oberauer, and the Cognitive Psychology team.
Application deadline: 20 March 2026

19.02.2026 14:14 — 👍 13    🔁 12    💬 0    📌 1
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Big news from the lab today: @joschadutli.bsky.social has officially defended his PhD! 🎉
We’re grateful to @aidanhorner.bsky.social for serving as external examiner and as Joscha’s supervisors we @leabartsch.bsky.social and @koberauer.bsky.social are incredibly proud—congrats, Joscha!

10.12.2025 12:23 — 👍 21    🔁 6    💬 0    📌 1

The Cognition Lab @ University of Zurich is on Bluesky! Follow us for updates on new papers & preprints, conferences that lab members attend & other news around research on #workingmemory, #attention, and #longtermmemory.

05.11.2025 16:54 — 👍 20    🔁 11    💬 1    📌 0
Easy and Accessible Bayesian Measurement Models Using brms Fit computational and measurement models using full Bayesian inference. The package provides a simple and accessible interface by translating complex domain-specific models into brms syntax, a powerfu...

Super excited to share that Ven Popov & me published a new release of the #bmm R package: venpopov.github.io/bmm/

We have added the Memory Measurement Model for categorical #workingmemory tasks to the package!

Apart from that there are some minor fixes to already implemented models and functions.

24.07.2025 18:03 — 👍 7    🔁 2    💬 1    📌 0

Can removing info from working memory reduce interference or free up capacity? Our new study finds that removal boosts memory by freeing resources—not by reducing interference.

chenyuli.bsky.social
@gidon-frischkorn.bsky.social
koberauer.bsky.social

🔗
www.sciencedirect.com/science/arti...

28.04.2025 13:21 — 👍 12    🔁 5    💬 0    📌 0

Can We Process Information Without Encoding It into Working Memory?: https://osf.io/mcpf7

11.03.2025 13:41 — 👍 2    🔁 1    💬 0    📌 1
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Next up in Poster Session III, November 22 from 6:00 - 7:30 PM, @chenyuli.bsky.social sky.social will tell you about the benefit of removing information from working memory. With @gidon-frischkorn.bsky.social on-frischkorn.bsky.social , @hannahdames.bsky.social hdames.bsky.social and Klaus Oberauer.

22.11.2024 13:08 — 👍 5    🔁 1    💬 1    📌 0
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The Zurich Cognition Lab (Oberauer, Bartsch, and Frischkorn) is attending Psychonomics 2024 and you are in for A LOT of treats! If you are in New York, make sure to stop by our talks and posters and discuss with us (more details in the thread)

#psynom24

22.11.2024 13:08 — 👍 16    🔁 5    💬 1    📌 2

The Benefit of Removing Information from Working Memory: Increasing Available Cognitive Resources or Reducing Interference?: http://osf.io/s8kcz/

05.07.2024 14:34 — 👍 0    🔁 1    💬 0    📌 0
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Ven Popov - Introducing the Bayesian Measurement Modeling R Package (bmm) Making Bayesian measurement modeling in psychology accessible, reliable & efficient

Looks interesting: venpopov.com/posts/2024/i...

14.06.2024 23:15 — 👍 13    🔁 8    💬 0    📌 0
Ven Popov – Introducing the Bayesian Measurement Modeling R Package (bmm)

😎 My colleagues Gidon Frischkorn and Ven Popov have launched *bmm* their R-package on hierarchical Bayesian implementations of measurement models for to CRAN ! Please check out their Blog post: venpopov.com/posts/2024/i... #CogSci #workingmemory #CogPsych #rstats #PsychSciSky

13.06.2024 11:45 — 👍 11    🔁 4    💬 0    📌 0

🚨New paper🚨 I’m exited to share that our (@joschadutli.bsky.social, K. Oberauer, @leabartsch.bsky.social) work on the link between grouping of information in #workingmemory and the formation of chunks in #longtermmeory has just been published in Cognition! 🥳

www.sciencedirect.com/science/arti...

25.04.2024 13:53 — 👍 15    🔁 7    💬 0    📌 1

Come and join us, for lots of #workingmemory fun 🤩

08.04.2024 16:34 — 👍 12    🔁 19    💬 0    📌 0

Removal of Information from Working Memory: Time Course and Consequences: http://osf.io/qt3f9/

02.04.2024 16:52 — 👍 2    🔁 2    💬 0    📌 0