Andrey Chetverikov
@achetverikov.bsky.social
800 followers 600 following 280 posts
Associate Professor in Cognitive Psychology at the University of Bergen, Norway. I study decision-making and biases in perception and visual working memory, with occasional forays into higher level decisions. https://andreychetverikov.org
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Reposted by Andrey Chetverikov
lsp-ens.bsky.social
RT @mamassian.bsky.social‬:
Delighted to share this work led by Thomas Schaffhauser on the processing of rich natural-like motion stimuli (“motion clouds”) in the visual cortex of the ferret:

https://www.biorxiv.org/content/10.1101/2025.09.23.678183v1
achetverikov.bsky.social
Sounds cool! But what kind of tasks it generalizes across? And I guess we're talking classification accuracy not probabilistic decoding of continuous variables (like e.g. color decoding)?
achetverikov.bsky.social
Well, many (most) of these fields were optional, but I agree that it might scare off ppl. The idea was that it is difficult to predict what kind of details would be relevant in the future, so ideally one wants as many details as possible. I'll send you a DM about joining.
achetverikov.bsky.social
I had the great honor of serving as an opponent for Lari Virtanen’s PhD defense on Friday at the University of Helsinki. Lari isn’t on bsky, but check out his papers on ensemble perception and color that show just how flexible and efficient it is! researchportal.helsinki.fi/en/persons/l...
Lari Sakari Virtanen
researchportal.helsinki.fi
achetverikov.bsky.social
the number of trials & observers, the number of stimuli categories, the way responses are collected, the license, info about the paper / data source, etc.

we once tried to collate a visual search DB, didn't go far, but had a detailed metadata template, could be useful?
github.com/achetverikov...
github.com
achetverikov.bsky.social
When AI summaries sound like conspiracy theories
helixbrief.bsky.social
Discover the surprising truth about visual working memory - features are not stored independently, but as interdependent objects. This groundbreaking finding challenges conventional wisdo...

🧵 Thread below

Full analysis: https://helixbrief.com/article/fbd1e76a-3a3f-4788-8078-afd3d79a4366
Reposted by Andrey Chetverikov
mariaolkkonen.bsky.social
Today, the PhD student I co-supervised with Dr. Toni Saarela, Lari Virtanen, is defending his thesis on color ensemble perception at the University of Helsinki. It is both a happy and a sad day. Toni passed away only two weeks ago and just missed seeing his first PhD student graduate. RIP Toni ❤️😔
Reposted by Andrey Chetverikov
realgdt.bsky.social
He will tell his tale…
thefilmupdates.bsky.social
The official trailer for Guillermo del Toro’s ‘FRANKENSTEIN’ starring Oscar Isaac, Jacob Elordi, Mia Goth and Christoph Waltz.

In select theaters October 17, on Netflix November 7.
Reposted by Andrey Chetverikov
eikofried.bsky.social
Had missed this absolutely brilliant paper. They take a widely used social media addiction scale & replace 'social media' with 'friends'. The resulting scale has great psychometric properties & 69% of people have friend addictions.

link.springer.com/article/10.3...
Development of an Offline-Friend Addiction Questionnaire (O-FAQ): Are most people really social addicts? - Behavior Research Methods
A growing number of self-report measures aim to define interactions with social media in a pathological behavior framework, often using terminology focused on identifying those who are ‘addicted’ to engaging with others online. Specifically, measures of ‘social media addiction’ focus on motivations for online social information seeking, which could relate to motivations for offline social information seeking. However, it could be the case that these same measures could reveal a pattern of friend addiction in general. This study develops the Offline-Friend Addiction Questionnaire (O-FAQ) by re-wording items from highly cited pathological social media use scales to reflect “spending time with friends”. Our methodology for validation follows the current literature precedent in the development of social media ‘addiction’ scales. The O-FAQ had a three-factor solution in an exploratory sample of N = 807 and these factors were stable in a 4-week retest (r = .72 to .86) and was validated against personality traits, and risk-taking behavior, in conceptually plausible directions. Using the same polythetic classification techniques as pathological social media use studies, we were able to classify 69% of our sample as addicted to spending time with their friends. The discussion of our satirical research is a critical reflection on the role of measurement and human sociality in social media research. We question the extent to which connecting with others can be considered an ‘addiction’ and discuss issues concerning the validation of new ‘addiction’ measures without relevant medical constructs. Readers should approach our measure with a level of skepticism that should be afforded to current social media addiction measures.
link.springer.com
achetverikov.bsky.social
The fact that such a question even exists makes me sad about the state of social sciences
jamiecummins.bsky.social
Can large language models stand in for human participants?
Many social scientists seem to think so, and are already using "silicon samples" in research.

One problem: depending on the analytic decisions made, you can basically get these samples to show any effect you want.

THREAD 🧵
The threat of analytic flexibility in using large language models to simulate human data: A call to attention
Social scientists are now using large language models to create "silicon samples" - synthetic datasets intended to stand in for human respondents, aimed at revolutionising human subjects research. How...
arxiv.org
achetverikov.bsky.social
wait, what unconscious processing? what are you, a Freudian?
Reposted by Andrey Chetverikov
rademaker.bsky.social
We’re looking for a postdoc to join our Max Planck group in Germany some time in 2026. If you have computational and/or neuroimaging expertise, and are interested in questions intersecting perception and cognition, please reach out! I’ll also be happy to chat at the #Bernsteinconference this week.
achetverikov.bsky.social
But can these effects be a beginning of a beautiful friendship?
emilya-izzeddin.bsky.social
Just published some work at Scientific Reports! We investigated visual adaptation following free viewing of a film (Casablanca) that had its oriented contrast altered. To our surprise, we found adaptation effects to be pretty negligible…

www.nature.com/articles/s41...

1/10
Investigating orientation adaptation following naturalistic film viewing - Scientific Reports
Scientific Reports - Investigating orientation adaptation following naturalistic film viewing
www.nature.com
achetverikov.bsky.social
This seems very cool, but as I understand you're predicting 2AFC classification (the preprint says it was 4AFC for color, but the chance line on the plot is 50% for some reason), not perception. Still impressive nevertheless!
Reposted by Andrey Chetverikov
studenova.bsky.social
Simulations are fun! Especially with the right tools😉.
@willenjoy.bsky.social and I (with support from Mina Jamshidi) made a toolbox for simulating EEG/MEG data
meegsim.readthedocs.io
I put together a quick simulation using it for this short clip. Took me 10 minutes (no, really!)
#brainmovies
achetverikov.bsky.social
I think not in its standard application. It's like SDT - can be used as a theoretical model (and has been developed as such), but most often used as a way to parametrize the data into c and d'. Similarly, if DDM == cognitive model, you need to a bit further than computing drift rate etc.
achetverikov.bsky.social
I guess it can be seen as a way to separate bias and sensitivity, for example. Or to connect accuracy and RT.
achetverikov.bsky.social
That! I think too often people treat DDM as a theory and not as a descriptive model.
I’m out of ideas. Let’s fit a drift diffusion model and then put weird interpretations on the parameters. I love being so theory driven!
Reposted by Andrey Chetverikov
kobedesender.bsky.social
"Learning to be confident: How agents learn confidence based on prediction errors"! Now out in @cognitionjournal.bsky.social led by @pierreledenmat.bsky.social

Paper: desenderlab.com/wp-content/u... Thread ↓↓↓

#AcademicSky #PsychSciSky #Neuroscience #Neuroskyence
achetverikov.bsky.social
I think that's my point - ppl mostly don't care who programmed the experiment or who collected the data. Note that I don't mean that it's less of a job, I worked as a staff scientist. And It's important to track record of that (I fully agree), so good credit statements are needed.
Reposted by Andrey Chetverikov
sirileknes.bsky.social
Please RT
2 new positions in the lab as postdoc & PhD!

Interested in stress, pain, or reward? This project has it all!

We are a friendly but ambitious group. Oslo is a capital city on the fjord & bordered by forest, great urban & outdoors opportunities: 💃 ⛷️ 🚣 🎭 🎶

www.jobbnorge.no/en/available...
Postdoctoral Research Fellowship (286516) | University of Oslo
Job title: Postdoctoral Research Fellowship (286516), Employer: University of Oslo, Deadline: Wednesday, October 15, 2025
www.jobbnorge.no