Schema Dictionaries: Quantifying Schematic Content in Narratives with Natural Language Processing: https://osf.io/67jcn

Hybrid neural–cognitive models reveal how memory shapes human reward learning Nature Human Behaviour, Published online: 05 February 2026; doi:10.1038/s41562-025-02324-0Using artificial neural networks applied to human data, Eckstein et al. show that good models of reinforcement learning require memory components that track representations of the past.

Hybrid neural–cognitive models reveal how memory shapes human reward learning

Neural dynamics outside task-coding dimensions drive decision trajectories through transient amplification www.biorxiv.org/content/10.1101/2025.11....

Hippocampal Drift Rate Reflects the Temporal Organization of Memories When freely recalling past events, individuals tend to successively remember stimuli that were studied close together in time—a phenomenon known as temporal clustering. Temporal clustering is thought ...

How do changes in context influence how we organize our memories in time?

Faster contextual changes are associated with faster drift in hippocampal activity and reduced temporal clustering in recalled memories.

Elegant work led by @lindsayrait.bsky.social!

www.jneurosci.org/content/45/4...

Really delighted to share our new article in Current Biology showing that the cingulate-to-dorsolateral prefrontal pathway is not involved in trial-to-trial short-term adaptation but rather in sustained motivational control.
doi.org/10.1016/j.cu...

I’m excited to share my recent preprint on a neural network model of free recall that learns multiple memory strategies including the memory palace!

www.biorxiv.org/content/10.1...

Children leverage predictive representations for flexible, value-guided choice By harnessing a mental model of how the world works, learners can make flexible choices in changing environments. However, while children and adolesce…

New paper out in cognition with @arikahn.bsky.social, @nathanieldaw.bsky.social, Cate Hartley, and @katenuss.bsky.social !!

We show that children 👶 use predictive representations (e.g. SR) to guide their choices, providing an account of how they can make flexible choices in a changing world

Hi! I'm interested but private messages are not open for this account.

I was mesmerized by the idea that something static can convey not only motion but also temporality, and I decided to test it empirically. It wasn’t an easy task, as the way our data was organized didn’t make it straightforward. But now, here is our paper!
♥️ www.degruyterbrill.com/document/doi...

Graph showing proportions of different motion cues found in 300+ global comics

New paper alert! Work by @cogirmak.bsky.social explores the motion events in 300+ comics from around the world, revealing subtle underlying features of different types of motion cues: "Whoosh! visual depictions of direction, speed, and temporality" www.degruyterbrill.com/document/doi...

Thrilled to announce our new paper in JEP: General!
psycnet.apa.org/record/2026-...

We show how proactive control declines while reactive control remains robust across the lifespan, using multiple measures of both in a novel Stroop paradigm. A very rich, open dataset for future modeling projects!

Decoding the dynamics of cognitive control: Insights from reach movements and electroencephalography www.biorxiv.org/content/10.1101/2025.08....

Resources for Research This section provides brief summaries of selected resources for research that have been published in journals of the Psychonomic Society, typically Behavior Research Methods. These resources consis…

Need to control visual similarity in your experiments? A new open database by Robbins and colleagues @michaelhout.bsky.social @haywardgodwin.bsky.social, published in #psynomBRM, maps similarity among 1,200 objects in 20 categories using MDS—validated & ready to use.

Adaptive behavior is guided by integrated representations of controlled and non-controlled information www.biorxiv.org/content/10.1101/2025.08....

My first, first author paper, comparing the properties of memory-augmented large language models and human episodic memory, out in @cp-trendscognsci.bsky.social!

authors.elsevier.com/a/1lV174sIRv...

Here’s a quick 🧵(1/n)

New review paper with Maverick Smith on improving memory for stuff people actually want to remember:
doi.org/10.1177/0963...

My latest: a short review on latent variable models to help uncover trial-to-trial structure in perceptual decision-making strategies

authors.elsevier.com/a/1lMiv4sIRv...

Origin and Control of Persistent Mental Content: https://osf.io/dghnf

In this new preprint, in review @elife.bsky.social, we show what processing steps make up the reaction time using single trial #EEG modelling in a contrast #decision task.

In this 🧵 I'm telling the story behind it as I think it is quite interesting and I can't write it like this in the paper...

Subgoals in Hierarchical Reinforcement Learning: https://osf.io/vnte2

Two time scales of adaptation in human learning rates www.biorxiv.org/content/10.1101/2025.06....

New modeling paper, spearheaded by Raphael Geddert and Seth Madlon-Kay, now out in Psychonomic Bulletin & Review: "Modeling of control over task switching and cross-task interference supports a two-dimensional model of cognitive stability and flexibility".
Free read link: rdcu.be/epatc

Precise individual measures of inhibitory control Nature Human Behaviour - Collecting an extensive publicly available dataset on four inhibitory control tasks, Gratton et al. show that more than 1,000 trials per participant are necessary to reduce...

Excited to announce that our paper (led by @hyejinjadelee.bsky.social & Derek Smith) is out in @nathumbehav.nature.com
go.illinois.edu/Lee2025_NHB
We use 36 days of testing in 4 inhibitory control tasks to examine the precision of inhibitory control measures in *individuals* and how they vary
🧵👇

What happens when we stretch RL over 24 days, with 1 or 2 iterations only per day? Check our preprint! A great collaboration with @benrottman.bsky.social‬ and Yiwen Zhang. @collinsccnlab.bsky.social
osf.io/preprints/ps...

🚀 PhD Position in Psychological Methods at @unimarburg.bsky.social
📅 Start: 01.10.2025 | 💼 50% TV-H E13 | ⏳ 3 years

Focus on statistical modeling—Bayesian statistics, cognitive modeling, psychometrics.

🔗 Apply now: uni-marburg.de/r5dKTr

🔄 Thanks for sharing!

The Role of Working Memory in Reward-based Learning over Long Timeframes: Opponent Bootstrapping and Interference E ects of Working Memory on Incremental Learning: https://osf.io/vb9u6

We're organizing a symposium in Ghent on "Flexible Definitions of Cognitive Flexibility" on Wednesday, September 10th, with six exciting speakers: shengjiexu.ugent.be/CoCoFlex_Sem.... Registration is free, but seats are limited. You can also submit poster or talk abstracts by July 31st!

Complex Span and the N-Back Lack Convergent Validity as Measures of Working Memory: https://osf.io/2xnka

Free recall is shaped by inference and scaffolded by event structure - Communications Psychology This study examines how event boundaries affect recall of items in a decision-making task. Events structured recall, which was impaired for items after boundaries. A reinforcement learning model showe...

This study examines how events structured recall, which was impaired for items after event boundaries. A reinforcement learning model showed that decision certainty predicts recall success.
@atabk.bsky.social @wouterkool.bsky.social @zreagh.bsky.social
www.nature.com/articles/s44...

Proactive control CAN be updated on a trial-by-trial basis

Proactive control CAN be updated on a trial-by-trial basis jocnf.pubpub.org/pub/d448vzo9