Andrey Chetverikov
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achetverikov.bsky.social
Andrey Chetverikov
@achetverikov.bsky.social
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
Pinned
@shansmann-roth.bsky.social and I finally finished our paper confirming a unique prediction of the Demixing Model (DM): inter-item biases in #visualworkingmemory depend on the _relative_ noise of targets and non-targets, potentially going in opposing directions. 🧵1/9
www.biorxiv.org/content/10.6...
Noise in Competing Representations Determines the Direction of Memory Biases
Our memories are reconstructions, prone to errors. Historically treated as a mere nuisance, memory errors have recently gained attention when found to be systematically shifted away from or towards no...
www.biorxiv.org
Reposted by Andrey Chetverikov
Compositional data (proportions that sum to 1) behave in ways standard models aren’t built for

I walk through why Dirichlet regression is often the right tool & what extra insight it gives using a real ex of eyetracking

#Dirichlet #r #brms #guide #eyetracking

open.substack.com/pub/mzlotean...
February 9, 2026 at 4:05 PM
Reposted by Andrey Chetverikov
Ok researchers rise and shine, it's groundhog day - what better way to get you up to date with what has been going on at the FORRT Replication Hub? forrt.org/replication-...
February 2, 2026 at 9:45 AM
Dear colleagues, please use decipherable axis titles or at least write in the caption what your Greek letters mean precisely =)
January 31, 2026 at 4:42 PM
I'm curious though if different scoring is a) intentional and b) linked to different interpretation. Do people make a new score because they want to interpret IGT differently?
How many versions of the Iowa Gambling Task (IGT) exist? And how much does this affect research using the IGT? More than you might think. 🧵
Methodological Flexibility in the Iowa Gambling Task Undermines Interpretability: A Meta-method Review: https://osf.io/4g3vr
January 26, 2026 at 9:15 AM
I'm thinking of where to put the data and code for our recent preprint. Usually, I use OSF but it would be nice to be able to upload / update directly from VSCode. So is Github -> OSF the best way?
January 23, 2026 at 11:42 AM
A weird column in Nature. First, I find it weird that "two years of academic work" are equated with ChatGPT chat history. Also, hello, backups are useful?
www.nature.com/articles/d41...
When two years of academic work vanished with a single click
After turning off ChatGPT’s ‘data consent’ option, Marcel Bucher lost the work behind grant applications, teaching materials and publication drafts. Here’s what happened next.
www.nature.com
January 23, 2026 at 10:58 AM
Vision people, we must investigate!
With most psychedelic drugs, you never know what you're going to get. But this mysterious mushroom from China - without fail - causes users to hallucinate tiny people: crawling up walls, popping out from under furniture and marching under doors. www.bbc.com/future/artic...
'They saw them on their dishes when eating': The mushroom making people hallucinate dozens of tiny humans
Only recently described by science, the mysterious mushrooms are found in different parts of the world, but they give people the same exact visions.
www.bbc.com
January 22, 2026 at 7:38 PM
Reposted by Andrey Chetverikov
Here’s a thought that might make you tilt your head in curiosity: With every movement of your eyes, head, or body, the visual input to your eyes shifts! Nevertheless, it doesn't feel like the world does suddenly tilts sideways whenever you tilt your head. How can this be? TWEEPRINT ALERT! 🚨🧵 1/n
a husky puppy is laying on the floor with its tongue out and wearing a blue collar .
ALT: a husky puppy is laying on the floor with its tongue out and wearing a blue collar .
media.tenor.com
January 21, 2026 at 12:28 PM
Reposted by Andrey Chetverikov
We're running a 5th edition of the always-exciting UCL Summer School on Consciousness and Metacognition this year, 8th-10th July 2026 in London. Accommodation and travel expenses are covered.

For more information and how to apply, check out metacoglab.org/summer-schoo...
Summer School - About — the MetaLab
metacoglab.org
January 20, 2026 at 5:07 PM
Reposted by Andrey Chetverikov
This is great - it's about time someone updated the discourse on LLM energy usage to reflect that coding agents use massively more prompts than occasional questions to ChatGPT

Simon estimates that a day of coding agent usage comes out close to the energy needed to run a dishwasher
Whenever I read discourse on AI energy/water use that focuses on the "median query," I can't help but feel misled. Coding agents like Claude Code send hundreds of longer-than-median queries every session, and I run dozens of sessions a day.

On my blog: www.simonpcouch.com/blog/2026-01...
January 20, 2026 at 11:10 PM
Reposted by Andrey Chetverikov
main goal for this year: find a new job! 🙂

looking for a role with fun & complex technical challenges & within a great community. my main expertise is in signal processing/EEG/MEG, but topic-wise I am quite flexible.

science/industry both great! starting mid-year. nschawor.github.io/cv
January 16, 2026 at 10:14 AM
Dear statistical hivemind, can anyone explain how can plots like this arise when individual differences in two conditions are plotted? Like when estimates in one condition seem to be reversed around some mean compared to another condition. Is it smth about GLMM effects plotted instead of raw data?
January 15, 2026 at 2:42 PM
Reposted by Andrey Chetverikov
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...
OSF
doi.org
January 12, 2026 at 2:43 PM
Reposted by Andrey Chetverikov
#BrainMeeting 🧠 Alert! 🎺

This Friday, January 16th, the Brain Meeting speaker will be Janneke Jehee giving a talk entitled "Uncertainty in perceptual decision-making"

In person or online. For more information:
www.fil.ion.ucl.ac.uk/event
January 12, 2026 at 9:14 AM
Reposted by Andrey Chetverikov
For 15(!) years I’ve been teaching introductory #MRI to grad students, and struggled to find a textbook for a wide variety of backgrounds. I'm happy to share an online textbook I created, fully open source (including code for generating figures and plots shown):
larsonlab.github.io/MRI-educatio...
Introduction to Principles of MRI — Principles of MRI
larsonlab.github.io
January 10, 2026 at 7:42 AM
Reposted by Andrey Chetverikov
🧠 Feature-specific predictive processing: What’s in a prediction error? 🧠

Perspective article w/ Cem Uran, @martinavinck.bsky.social & @predictivebrain.bsky.social now in @imagingneurosci.bsky.social, highlighting recent work on the nature of surprise reflected in visual prediction errors.

🧵👇
January 8, 2026 at 5:12 PM
Reposted by Andrey Chetverikov
Leftmost goal isn't actually facing the camera
January 8, 2026 at 12:04 PM
Reposted by Andrey Chetverikov
This looks like a great opportunity!

The University of Vienna invites applications for at least 40 fully funded, 4-year doctoral positions in the social sciences, humanities and cultural studies.

careers.univie.ac.at/en/praedoc/p...
Doctoral Recruitment Call 2026 — Social Sciences, Humanities & Cultural Studies
The University of Vienna invites applications for at least 40 fully funded, 4-year doctoral positions in the social sciences, humanities and cultural studies.
careers.univie.ac.at
January 8, 2026 at 11:10 AM
Happy back to work day for many of us =) Except of course the poor souls with deadlines in early January (hi there fellow ERC CoG writers). Anyhow, just reposting this in case you missed it in the holiday bliss.
January 5, 2026 at 2:56 PM
Reposted by Andrey Chetverikov
Computational Social Scientists in the Nordics, unite!
🇩🇰🇫🇮🇳🇴🇸🇪🇮🇸

The brand new Nordic Society for CSS welcomes all researchers and practitioners based in the Nordics. The Society will promote student mobility, events, and education initiatives.

Join for free: nosocss.org/join.html.
January 5, 2026 at 7:57 AM
It's a sad state of affairs, but I don't think changing the evaluation approach is really the key. The problem is too little money, the scientific budgets stagnate or get cut. One thing I agree with though is that hype-driven topics ('GenAI for X') are a very bad way to spend money.
This report in Nature on the costs of competing for & administering scientific grants is shocking: "In other words, European taxpayers will have spent more on the funding process than on the funding itself, and the scientific ecosystem has been drained." www.nature.com/articles/d41... 🧪
Point of no returns: researchers are crossing a threshold in the fight for funding
With so little money to go round, the costs of competing for grants can exceed what the grants are worth. When that happens, nobody wins.
www.nature.com
January 2, 2026 at 10:46 AM
Reposted by Andrey Chetverikov
The first publication of my PhD is finally here!

Super proud to share this with my supervisor @theresecollins.bsky.social!

doi.org/10.1167/jov....
Attractive and repulsive history effects in categorical and continuous estimates of orientation perception | JOV | ARVO Journals
doi.org
December 29, 2025 at 3:22 PM
@shansmann-roth.bsky.social and I finally finished our paper confirming a unique prediction of the Demixing Model (DM): inter-item biases in #visualworkingmemory depend on the _relative_ noise of targets and non-targets, potentially going in opposing directions. 🧵1/9
www.biorxiv.org/content/10.6...
Noise in Competing Representations Determines the Direction of Memory Biases
Our memories are reconstructions, prone to errors. Historically treated as a mere nuisance, memory errors have recently gained attention when found to be systematically shifted away from or towards no...
www.biorxiv.org
December 26, 2025 at 4:39 PM
Reposted by Andrey Chetverikov
This article by @aozkirli.bsky.social @achetverikov.bsky.social and @davidpascucci.bsky.social shows that, rather than improving performance, serial dependence makes perceptual decisions more uncertain.
Large-scale mega-analysis indicates that serial dependence deteriorates perceptual decision-making
Abstract For over a century, research has shown that human perceptual decisions are systematically influenced by prior perceptual experiences, a phenomenon known as serial dependence. It has recently been suggested that serial dependence can improve perceptual decision-making by mitigating uncertainty and reducing variability in perceptual estimates—leading to a superiority effect. However, this claim remains largely untested. Here we present a large-scale analysis, compiling the most extensive dataset of serial dependence studies from the past decade. Contrary to the proposed superiority effect, our findings indicate that serial dependence deteriorates rather than improves perceptual decision-making. These results challenge prevailing models and emphasize the need to rethink serial dependence and its role in human perception, cognition and behaviour. Access options Get Nature+, our best-value online-access subscription Prices may be subject to local taxes which are calculated during checkout The datasets containing standardized raw data for the mega-analysis are available at https://github.com/aozkirli/Large-scale-mega-analysis-on-serial-dependence/tree/main. The use of any part of this compiled dataset in future studies requires citation of both this publication and the original source studies from which the data were obtained. The analysis code can be found at https://github.com/aozkirli/Large-scale-mega-analysis-on-serial-dependence/tree/main. References Fischer, J. & Whitney, D. Serial dependence in visual perception. Nat. Neurosci. 17, 738–743 (2014). Manassi, M., Murai, Y. & Whitney, D. Serial dependence in visual perception: a meta-analysis and review. J. Vis. 23, 18 (2023). Article Pascucci, D. et al. Serial dependence in visual perception: a review. J. Vis. 23, 9 (2023). Article Kiyonaga, A., Scimeca, J. M., Bliss, D. P. & Whitney, D. Serial dependence across perception, attention, and memory. Trends Cogn. Sci. 21, 493–497 (2017). Article Kondo, A., Murai, Y. & Whitney, D. The test–retest reliability and spatial tuning of serial dependence in orientation perception. J. Vis. 22, 5 (2022). Article Alais, D., Leung, J. & Van der Burg, E. Linear summation of repulsive and attractive serial dependencies: orientation and motion dependencies sum in motion perception. J. Neurosci. 37, 4381–4390 (2017). Barbosa, J. & Compte, A. Build-up of serial dependence in color working memory. Sci. Rep. 10, 10959 (2020). Ceylan, G., Herzog, M. H. & Pascucci, D. Serial dependence does not originate from low-level visual processing. Cognition 212, 104709 (2021). Fischer, C., et al. Context information supports serial dependence of multiple visual objects across memory episodes. Nat. Commun. 11, 1932 (2020). Moon, J. & Kwon, O.-S. Attractive and repulsive effects of sensory history concurrently shape visual perception. BMC Biol. 20, 247 (2022). Article PubMed Central Pascucci, D. et al. Laws of concatenated perception: vision goes for novelty, decisions for perseverance. PLoS Biol. 17, e3000144 (2019). Pascucci, D. & Plomp, G. Serial dependence and representational momentum in single-trial perceptual decisions. Sci. Rep. 11, 9910 (2021). Tanrikulu, Ö. D., Pascucci, D. & Kristjánsson, Á. Stronger serial dependence in the depth plane than the fronto-parallel plane between realistic objects: evidence from virtual reality. J. Vis. 23, 20 (2023). Article PubMed Central Liberman, A., Manassi, M. & Whitney, D. Serial dependence promotes the stability of perceived emotional expression depending on face similarity. Atten. Percept. Psychophys. 80, 1461–1473 (2018). Google Scholar Liberman, A. & Whitney, D. The serial dependence of perceived emotional expression. J. Vis. 15, 929 (2015). Kim, S., Burr, D. & Alais, D. Attraction to the recent past in aesthetic judgments: a positive serial dependence for rating artwork. J. Vis. 19, 19 (2019). Google Scholar Stern, Y., Ben-Yehuda, I., Koren, D., Zaidel, A. & Salomon, R. The dynamic boundaries of the self: serial dependence in the sense of agency. Cortex 152, 109–121 (2022). Google Scholar Taubert, J., Van der Burg, E. & Alais, D. Love at second sight: sequential dependence of facial attractiveness in an on-line dating paradigm. Sci. Rep. 6, 22740 (2016). Lõoke, M., Guérineau, C., Broseghini, A., Mongillo, P. & Marinelli, L. Visual continuum in non-human animals: serial dependence revealed in dogs. Proc. R. Soc. B 291, 20240051 (2024). Article Papadimitriou, C., Ferdoash, A. & Snyder, L. H. Ghosts in the machine: memory interference from the previous trial. J. Neurophysiol. 113, 567–577 (2014). Article Google Scholar Kalm, K. & Norris, D. Visual recency bias is explained by a mixture model of internal representations. J. Vis. 18, 1 (2018). Article Google Scholar Cicchini, G. M., Mikellidou, K. & Burr, D. The functional role of serial dependence. Proc. R. Soc. B 285, 20181722 (2018). Article PubMed Central Google Scholar van Bergen, R. S. & Jehee, J. F. Probabilistic representation in human visual cortex reflects uncertainty in serial decisions. J. Neurosci. 39, 8164–8176 (2019). Article PubMed Central Google Scholar Chetverikov, A. Demixing model: a normative explanation for inter-item biases in memory and perception. Preprint at bioRxiv https://doi.org/10.1101/2023.03.26.534226 (2023). Bansal, S. et al. Qualitatively different delay-dependent working memory distortions in people with schizophrenia and healthy control participants. Biol. Psychiatry Cogn. Neurosci. Neuroimaging https://doi.org/10.1016/j.bpsc.2023.07.004 (2023). Article PubMed PubMed Central Google Scholar Pascucci, D. et al. Intact serial dependence in schizophrenia: evidence from an orientation adjustment task. Schizophr. Bull. 51, 754–764 (2024). Article PubMed Central Google Scholar Stein, H. et al. Reduced serial dependence suggests deficits in synaptic potentiation in anti-NMDAR encephalitis and schizophrenia. Nat. Commun. 11, 4250 (2020). Fritsche, M., Spaak, E. & de Lange, F. P. A Bayesian and efficient observer model explains concurrent attractive and repulsive history biases in visual perception. Elife 9, e55389 (2020). Article PubMed PubMed Central Google Scholar Ozkirli, A., Pascucci, D. & Herzog, M. H. Failure to replicate a superiority effect in crowding. Nat. Commun. 16, 1637 (2025). Sheehan, T. C. & Serences, J. T. Attractive serial dependence overcomes repulsive neuronal adaptation. PLoS Biol. 20, e3001711 (2022). Abreo, S., Gergen, A., Gupta, N. & Samaha, J. Effects of satisfying and violating expectations on serial dependence. J. Vis. 23, 6 (2023). Article PubMed PubMed Central Google Scholar Samaha, J. Data for ‘Effects of satisfying and violating expectations on serial dependence’. OSF https://osf.io/kpjtb/ (2022). Blondé, P., Kristjánsson, Á. & Pascucci, D. Tuning perception and decisions to temporal context. iScience https://doi.org/10.1016/j.isci.2023.108008 (2023). Blondé, P. Tuning perception and decisions to temporal context. Mendeley https://doi.org/10.17632/TMWD9ZKMCX.1 (2023). Ceylan, G. & Pascucci, D. Attractive and repulsive serial dependence: the role of task relevance, the passage of time, and the number of stimuli. J. Vis. 23, 8 (2023). Article PubMed PubMed Central Google Scholar Pascucci, D. Datasets for ‘Serial dependence does not originate from low-level visual processing’ Gizayet al., (2021): cognition. Zenodo https://doi.org/10.5281/zenodo.4632854 (2021). Chetverikov, A. & Jehee, J. F. M. Motion direction is represented as a bimodal probability distribution in the human visual cortex. Nat. Commun. 14, 7634 (2023). Chetverikov, A. & Jehee, J. Data Accompanying the Paper ‘Motion Direction Is Represented as a Bimodal Probability Distribution in the Human Visual Cortex’ (Radboud Univ., 2023); https://doi.org/10.34973/YK4K-TP41 Cicchini, G. M., Mikellidou, K. & Burr, D. C. Data from: The functional role of serial dependence. Dryad https://doi.org/10.5061/DRYAD.8PH33S0 (2018). Fischer, C. et al. Data. OSF https://osf.io/b7msj (2020). Fritsche, M. & de Lange, F. P. The role of feature-based attention in visual serial dependence. J. Vis. 19, 21 (2019). Article PubMed Google Scholar Gallagher, G. K. & Benton, C. P. Stimulus uncertainty predicts serial dependence in orientation judgements. J. Vis. 22, 6 (2022). Article PubMed PubMed Central Google Scholar Geurts, L. S., Cooke, J. R., van Bergen, R. S. & Jehee, J. F. Subjective confidence reflects representation of Bayesian probability in cortex. Nat. Hum. Behav. 6, 294–305 (2022). Article PubMed Central Google Scholar Houborg, C., Kristjánsson, Á, Tanrıkulu, Ö. D. & Pascucci, D. The role of secondary features in serial dependence. J. Vis. 23, 21 (2023). Article Google Scholar Houborg, C., Pascucci, D., Tanrıkulu, Ö. D. & Kristjánsson, Á The effects of visual distractors on serial dependence. J. Vis. 23, 1 (2023). Article Lau, W. K. & Maus, G. W. Visual serial dependence in an audiovisual stimulus. J. Vis. 19, 20 (2019). Article Google Scholar Lau, W. K. & Maus, G. Related data for: Visual serial dependence in an audiovisual stimulus. DR-NTU (Data) https://doi.org/10.21979/N9/CBUORH (2020). Moon, J. & Kwon, O.-S. Data for ‘Attractive and repulsive effects of sensory history concurrently shape visual perception’. OSF https://osf.io/s3cx2 (2022). Moon, J., Tadin, D. & Kwon, O.-S. A key role of orientation in the coding of visual motion direction. Psychon. Bull. Rev. 30, 564–574 (2023). Article Google Scholar Kwon, O.-S. Data for ‘A key role of orientation in the coding of visual motion direction’. OSF https://osf.io/m6d4z (2022). Ozkirli, A. & Pascucci, D. It’s not the spoon that bends: internal states of the observer determine serial dependence. Preprint at bioRxiv https://doi.org/10.1101/2023.10.19.563128 (2023). Ozkirli, A. & Pascucci, D. Dataset for ‘It’s not the spoon that bends: internal states of the observer determine serial dependence’. Zenodo https://doi.org/10.5281/zenodo.11187228 (2024). Pascucci, D. Intact serial dependence in schizophrenia: evidence from an orientation adjustment task (version 1). Zenodo https://doi.org/10.1093/schbul/sbae106 (2024). Sadil, P., Cowell, R. A. & Huber, D. E. The push-pull of serial dependence effects: attraction to the prior response and repulsion from the prior stimulus. Psychon. Bull. Rev. 31, 259–273 (2024). Samaha, J., Switzky, M. & Postle, B. R. Confidence boosts serial dependence in orientation estimation. J. Vis. 19, 25 (2019). Samaha, J., Switzky, M. & Postle, B. R. Data for ‘Confidence boosts serial dependence in orientation estimation’. OSF https://osf.io/6uczk/ (2019). Houborg, C., Pascucci, D., Tanrikulu, Ö. D. & Kristjánsson, Á. The effects of visual distractors on serial dependence. Zenodo https://doi.org/10.5281/zenodo.7940512 (2023). Moscoso, P. A. M., Burr, D. C. & Cicchini, G. M. Serial dependence improves performance and biases confidence-based decisions. J. Vis. 23, 5 (2023). Stewart, N., Brown, G. D. A. & Chater, N. Absolute identification by relative judgment. Psychol. Rev. 112, 881–911 (2005). Fritsche, M., Mostert, P. & de Lange, F. P. Opposite effects of recent history on perception and decision. Curr. Biol. 27, 590–595 (2017). Dragoi, V., Sharma, J., Miller, E. K. & Sur, M. Dynamics of neuronal sensitivity in visual cortex and local feature discrimination. Nat. Neurosci. 5, 883–891 (2002). Tiurina, N. A., Markov, Y., Choung, O.-H., Herzog, M. H. & Pascucci, D. Unlocking crowding by ensemble statistics. Curr. Biol. 32, 4975–4981.e3 (2022). Whitney, D. & Levi, D. M. Visual crowding: a fundamental limit on conscious perception and object recognition. Trends Cogn. Sci. 15, 160–168 (2011). Google Scholar Jonides, J. & Nee, D. E. Brain mechanisms of proactive interference in working memory. Neuroscience 139, 181–193 (2006). Makovski, T. & Jiang, Y. V. Proactive interference from items previously stored in visual working memory. Mem. Cogn. 36, 43–52 (2008). Cicchini, G. M., Mikellidou, K. & Burr, D. C. Serial dependence in perception. Annu. Rev. Psychol. 75, 129–154 (2024). Cicchini, G. M., D’Errico, G. & Burr, D. C. Crowding results from optimal integration of visual targets with contextual information. Nat. Commun. 13, 5741 (2022). Glen, J. C. & Dakin, S. C. Orientation-crowding within contours. J. Vis. 13, 14 (2013). Livne, T. & Sagi, D. Multiple levels of orientation anisotropy in crowding with Gabor flankers. J. Vis. 11, 18 (2011). Solomon, J. A., Felisberti, F. M. & Morgan, M. J. Crowding and the tilt illusion: toward a unified account. J. Vis. 4, 9 (2004). Cicchini, G. M., D’Errico, G. & Burr, D. C. Reply to: Failure to replicate a superiority effect in crowding. Nat. Commun. 16, 1638 (2025). Barbosa, J. et al. Interplay between persistent activity and activity-silent dynamics in the prefrontal cortex underlies serial biases in working memory. Nat. Neurosci. 23, 1016–1024 (2020). Ernst, M. O. & Banks, M. S. Humans integrate visual and haptic information in a statistically optimal fashion. Nature 415, 429–433 (2002). Ufer, C. & Blank, H. Opposing serial effects of stimulus and choice in speech perception scale with context variability. iScience 27, 110611 (2024). Schwetlick, L. & Herzog, M. H. Visual crowding. Annu. Rev. Vis. Sci. https://doi.org/10.1146/annurev-vision-110423-024409 (2025). Geisler, W. S. Motion streaks provide a spatial code for motion direction. Nature 400, 65–69 (1999). Manassi, M., Liberman, A., Kosovicheva, A., Zhang, K. & Whitney, D. Serial dependence in position occurs at the time of perception. Psychon. Bull. Rev. 25, 2245–2253 (2018). Chetverikov, A. circhelp: circular analyses helper functions. GitHub https://github.com/achetverikov/circhelp/releases/tag/v1.1 (2024). van Bergen, R. S., Ji Ma, W., Pratte, M. S. & Jehee, J. F. M. Sensory uncertainty decoded from visual cortex predicts behavior. Nat. Neurosci. 18, 1728–1730 (2015). We thank all the researchers who have shared their data directly or made it publicly available. Data from three studies were provided by the Radboud University, Nijmegen, the Netherlands. This work was supported by the Swiss National Science Foundation (SNSF) through the Ambizione Grant ‘Serial Dependence in Perception and Decision Making’ (D.P.; grant numbers PZ00P1_179988 and PZ00P1_179988/2) and finalized with additional support from the SNSF Starting Grant (D.P.; TMSGI1_218247). The funders had no role in study design, data collection and analysis, decision to publish or preparation of the manuscript. Authors and Affiliations A.O.: conceptualization, data collection, investigation, analysis, and writing—original draft, review and editing. A.C.: conceptualization, data collection, analysis, and writing—review and editing. D.P.: conceptualization, data collection, investigation, analysis, writing—review and editing, funding acquisition and supervision. Peer review Peer review information Nature Human Behaviour thanks Matthias Fritsche, Huihui Zhang and the other, anonymous, reviewer(s) for their contribution to the peer review of this work. Peer reviewer reports are available. Results from the PubMed search. The column ‘Selected study’ identifies the study number in the dataset. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Ozkirli, A., Chetverikov, A. & Pascucci, D. Large-scale mega-analysis indicates that serial dependence deteriorates perceptual decision-making. Nat Hum Behav (2025). https://doi.org/10.1038/s41562-025-02362-8
www.nature.com
December 23, 2025 at 10:27 AM
finally out!
Happy to share our new paper in @nathumbehav.nature.com: t.co/Ciq7AKvle5. Using 500k+ behavioral trials, we show that #serialdependence deviates from #Bayesian predictions, pointing to a new narrative about how recent experience shapes perception. @aozkirli.bsky.social @achetverikov.bsky.social
December 24, 2025 at 9:48 AM