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Chris Jungerius

@cjungerius.bsky.social
132 followers 113 following 12 posts

PostDoc @ Cambridge University. Brains, Bayes, Visual working memory.

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Nicolás Sánchez-Fuenzalida @n41c0.bsky.social · 21/07/2026
well on time for my bi-yearly post I'm sharing the final version of this very cool work we started with @cjungerius.bsky.social @smfleming.bsky.social @svangaal.bsky.social @fahrenfort.bsky.social in 2021, when I was young and full of hope. Now out in @natcomms.nature.com 1/11
nature.com
The act of detecting a stimulus contaminates measures of conscious experience with decision biases - Nature Communications
A central challenge in consciousness research is determining whether people truly experience a stimulus. Here, the authors show that context biases traditional detection measures, whereas continuous r...
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Matthias Nau @matthiasnau.bsky.social · 16/07/2026
Thrilled to share our new #preprint, and super proud of @zednud.bsky.social and our work on eye–brain dynamics during eyes-closed rest and sleep! Also excited to share that Zach started his PhD with me recently! 🎉 Lots of ideas and cool work ahead. Follow him on Bluesky and check out his thread! 🧵
Zach
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Nicolás Sánchez-Fuenzalida @n41c0.bsky.social · 04/06/2026
my last PhD chapter is finally out 🪅🥳 (although not nicely formatted yet). it's very easy to introduce detection biases in otherwise appearance based tasks. A more digested thread coming later. w/ @cjungerius.bsky.social @smfleming.bsky.social @svangaal.bsky.social @fahrenfort.bsky.social
nature.com
The act of detecting a stimulus contaminates measures of conscious experience with decision biases - Nature Communications
A central challenge in consciousness research is determining whether people truly experience a stimulus. Here, the authors show that context biases traditional detection measures, whereas continuous r...
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Reposted by Chris Jungerius
Berna Devezer @devezer.bsky.social · 30/04/2026
📣 The difference between replicable and not replicable is not itself scientifically replicable. 📣 New work with Erkan Buzbas, showing that verdicts such as "X% of results replicated" are based on an inferential machinery that doesn't work. arxiv.org/abs/2604.26268
Screenshot of a paper's title page. Title: "The Difference Between 'Replicable' and 'Not replicable' is not Itself Scientifically Replicable". Authors: Berna Devezer and Erkan O. Buzbas, both at the University of Idaho — Devezer in the Department of Business and the Institute for Modeling Collaboration and Innovation, Buzbas in the Department of Mathematics and Statistical Science. Authors contributed equally. Corresponding author: bdevezer@uidaho.edu.
Abstract: Replication studies estimate the replicability rate of scientific results by aggregating binary verdicts of experiments. Exact replications are rarely attainable, so most replication sequences are non-exact. Experiments differ in ways that matter and do not share a single common data-generating process. We formalize two statistical interpretations of this non-exactness. In a shared latent rate model (benchmark), experiments are exchangeable and depend on a common random replicability rate. In a conditionally independent rates model (operational), each experiment has its own replicability rate drawn independently from a population distribution. Under the shared latent rate model, even small variability among replicability rates induces an irreducible variance floor on the estimated mean replicability rate that cannot be eliminated by adding more replications. Under the conditionally independent rates model, the degree of non-exactness is not identifiable from standard replication data, because one binary verdict per experiment contains no information about between-experiment heterogeneity. Researchers therefore cannot tell which precision regime they are operating in or whether high- and low-replicability sequences can be distinguished in principle. As a result, the usual data structure of one binary verdict per experiment cannot support reliable demarcation between "replicable" and "not replicable" results and systematically understates uncertainty, making high- and low-replicability sequences appear discrim…
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WMSymposium.bsky.social @wmsymposium.bsky.social · 24/02/2026
We are excited to announce that we will host WMS2026! The tentative dates are July 14th-17th, and we are currently looking for a postdoc to join the WMS2026 organizer team. If you are interested, please submit your application using the link below (Deadline: March 29th) forms.gle/noqsuEja2tB8...
media.tenor.com
a little girl is making a funny face while wearing a blue shirt with a leopard print .
ALT: a little girl is making a funny face while wearing a blue shirt with a leopard print .
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Litian Chen @ltchen.bsky.social · 23/02/2026
📢 New paper in Cognition @cognitionjournal.bsky.social with my co-authors: Freek van Ede @freekvanede.bsky.social, Chris Jungerius @cjungerius.bsky.social, and Heleen A. Slagter @haslagter.bsky.social. Grateful to have collaborated with you on this work: www.sciencedirect.com/science/arti... [1/5]
sciencedirect.com
Grounding distractor inhibition in action control: Implicit distractor-location learning is viewer dependent
Spatial selective attention is typically thought to act as a sensory filter: prioritizing the processing of relevant information at a particular locat…
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Cate Trentin @trentincaterina.bsky.social · 18/02/2026
I recently wrote a Journal Club article for Nature Reviews Psychology, which is published today: rdcu.be/e4yLI In it, I discuss a study by Bae and Luck that has been very influential for my research and for the way I think about visual working memory. I hope you enjoy the read!
nature.com
The relational nature of visual working memory
Nature Reviews Psychology - The relational nature of visual working memory
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Stella Wernicke @stellawernicke.bsky.social · 12/01/2026
I am happy to share that our preprint “𝗪𝗼𝗿𝗸𝗶𝗻𝗴 𝘄𝗶𝘁𝗵 𝗖𝗶𝗿𝗰𝘂𝗹𝗮𝗿 𝗗𝗮𝘁𝗮: 𝗔 𝗧𝘂𝘁𝗼𝗿𝗶𝗮𝗹 𝗳𝗼𝗿 𝗖𝗼𝗴𝗻𝗶𝘁𝗶𝘃𝗲 𝗮𝗻𝗱 𝗕𝗲𝗵𝗮𝘃𝗶𝗼𝗿𝗮𝗹 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵” is now out. Huge thanks to @bayslab.org, Julie de Falco, Zahara, @cjungerius.bsky.social, @ivntmc.bsky.social, Adam, and Xiaolu for the lovely collaboration. doi.org/10.31234/osf...
doi.org
OSF
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Nicole Rust @nicolecrust.bsky.social · 17/09/2025
I wonder if researchers who study attention and researchers who study emotion are aware about the strong parallel controversies regarding the theoretical targets? Let me describe them.
Cartoon of two investigators looking at a brain with magnifying glasses
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Richard McElreath 🐈‍⬛ @rmcelreath.bsky.social · 09/07/2025
How can we reform science? I have some ideas. But I am not sure you’ll like them, because they don’t promise much. elevanth.org/blog/2025/07...
elevanth.org
Which Kind of Science Reform
What hope is there for science reform, if we can't agree on what to reform? Right now, principles are more important than practices.
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Chris Jungerius @cjungerius.bsky.social · 06/07/2025
Starting tomorrow! Join us for lots of ECR talks about topics from across the field of working memory research!
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OPAM @opam.bsky.social · 30/06/2025
This Thursday we have our second OPAM online workshop! This one will address the best way to do power calculations to determine how many participants you should run in your next experiment - an increasingly important topic today! The talk will be given by @cjungerius.bsky.social from Cambridge!
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Jordan Nafa @ajordannafa.com · 21/04/2025
>The earliest statisticians would spend hours thinking about their assumptions and models because the computations themselves might have taken days. Today we call those people Bayesians
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Vincent Arel-Bundock @vincentab.bsky.social · 10/04/2025
📚😅🎉 Yay!! I just submitted the complete manuscript of my upcoming book to the publisher! Learn to easily and clearly interpret (almost) any stats model w/ R or Python. Simple ideas, consistent workflow, powerful tools, detailed case studies. Read it for free @ marginaleffects.com #RStats #PyData
Model to Meaning: How to interpret statistical models with marginaleffects for R and Python
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WMSymposium.bsky.social @wmsymposium.bsky.social · 14/04/2025
We are excited to announce that @cjungerius.bsky.social is joining the team of organizers of WMS 2025! With him joining, the prep for the party is in full throttle!
media.tenor.com
a cartoon of a hand holding a pool ball and the words " it 's go time "
ALT: a cartoon of a hand holding a pool ball and the words " it 's go time "
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Chris Jungerius @cjungerius.bsky.social · 17/03/2025
Exciting updates! I defended my PhD under @haslagter.bsky.social in January—'Learning What Matters: How to Pay Attention in a Volatile World'—and today, I’m starting as a Research Associate in the @bayslab.org at Cambridge. Looking forward to new challenges ahead!
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Cate Trentin @trentincaterina.bsky.social · 05/02/2025
❗News Alert ❗ Our iBBA (Institute for Brain and Behaviour Amsterdam) is now flying on Bluesky 🦋. If you're passionate about groundbreaking interdisciplinary science focused on understanding the brain and body as a unified system, stay tuned and follow us at bsky.app/profile/ibba...
bsky.app
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Lane Harrison @laneh.bsky.social · 31/01/2025
ReVISit 2.0 (revisit.dev) reached several exciting milestones recently: 📁 You can now define an entire experiment in a single file— from trial data, stimuli (visualizations and interactions, thanks to Vega-Altair), study blocks/sequences and randomization, questionnaires, etc.
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Carlisle Rainey 👨‍💻📊📚 @carlislerainey.bsky.social · 25/01/2025
"Power Rules: Practical Statistical Power Calculations" Preprint DOI: doi.org/10.31219/osf... #stats #polisky
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Joe Bak-Coleman @jbakcoleman.bsky.social · 25/11/2024
I had missed this as well and it really underscores how badly discussions of reform have missed thinking about the models we use and why we use them 🧵
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Cate Trentin @trentincaterina.bsky.social · 26/11/2024
Our PNAS paper "Action similarity warps visual feature space in working memory" is out! www.pnas.org/doi/epub/10..... Thanks to @haslagter.bsky.social and Chris Olivers for guiding me through this project, and thanks to Luigi Falanga and Jannik Jeske for their great lab work. What a team! 🤩🤓
pnas.org
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Heleen Slagter @haslagter.bsky.social · 22/11/2024
Now that more people are here, I’m signal boosting this great methods primer by my PhD student Chris. Chris is currently in the market for a postdoc, and comes highly recommended! #neuroskyence
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Christoph Nguyen @cgnguyen.bsky.social · 21/11/2024
Since this is making the rounds again, an updated version of my "Types of Political Behavior Papers" .
A humorous summary of different types of political behavior paper types 

You should always use this novel (10 year old) model we stole from psych/ CS/ econ/ physics/  /neuroscience 
You should never use this outdated (15 year old) model we had stolen from from psych/ CS/ econ/ physics/  /neuroscience 
We randomized stuff – now some things are different and others are not (but we won’t tell you about those)
How do we get people to vote?
Wait, we didn’t mean vote like THAT!
I found a great instrument – now all I need is a research question and a theory
My research fund is bigger than yours – a 150 country survey study 
Survey respondents say the darndest thing 
Did anybody else notice that things kind of suck right now? 
A bad thing is associated with another bad thing 
Getting the band back together: A large-N cross-country validation study of our pet theories
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Nicolás Sánchez-Fuenzalida @n41c0.bsky.social · 14/11/2024
thanks to the iBBA VU our workshop on Info. Theory is in full swing with Dr. Ince (@robince.bsky.social) giving an intro. lecture on info. theory measures. Dr. Canales-Johnson (@canalesjohnson.bsky.social) will follow with a lecture on how to use these measures to study perception and cognition
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Christoph Nguyen @cgnguyen.bsky.social · 11/04/2024
Me, every time @cjungerius.bsky.social suggests Bayesian Models.
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Chris Jungerius @cjungerius.bsky.social · 03/01/2024
Excited to share my primer on simulation-based power analysis using R, Python, and Julia! Based on @debruine.bsky.social's approach applied to data collected by @kirsten-adam.bsky.social, I hope it's a helpful tool for those starting with simulations. Check it out: cjungerius.github.io/powersim/
cjungerius.github.io
Power Simulation: A primer in 3 languages - Power Simulation in a Mixed Effects design using R
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Chris Jungerius @cjungerius.bsky.social · 21/12/2023
The second preprint of my PhD with @haslagter.bsky.social is out! In a followup to our previous work, we test the possible causes for our previous finding that reduced contextual uncertainty affects attentional capture: osf.io/exgvu
osf.io
OSF
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Chris Jungerius @cjungerius.bsky.social · 25/09/2023
Monday morning journal club really spoke to the imagination this week
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Richard McElreath 🐈‍⬛ @rmcelreath.bsky.social · 14/09/2023
Science is great but academia not so much. Earlier this week I revised my talk "Science as Amateur Software Development". The unprofessional way that academics curate & process data would benefit from professional habits of software engineers and chefs too 🧪 www.youtube.com/watch?v=8qzV...
youtube.com
Science as Amateur Software Development (2023 edition)
Software is both a cause of unreliable research and part of the solution. The bulk of scientific research relies upon specialized software for data managemen...
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