news

What is happening right now...

psp-torch is released! :rocket: Parameter space partitioning, now in PyTorch and running on the GPU. It also includes a tools for g-distance and adjacent analyses (Dome & Wills, 2025). Install with pip install psp-torch, and see the documentation.
cpm 0.26.0 is released! :sparkles: . Update with `pip install -U cpm-toolbox`.
New preprint! :sparkles: Why Shared Attention Vectors Fail: A Case for Outcome-Indexed Tuning. When attention is learned from summed gradients across several outcomes, a shared attention vector becomes unstable. I derive when this happens and propose an outcome-indexed architecture that fixes it. Read it on arXiv.
:tada: Our paper led by Aleya Marzuki is out in Nature Communications: Drops in Confidence Precede Symptoms of Obsessive-Compulsive Disorder. Read it here.
New preprint with Andy Wills! :brain: Errorless Irrationality: a single auto-associative network produces the inverse base-rate effect under predictive, observational and unsupervised training. Irrational generalisation does not need error-driven learning. Read it on arXiv.
New preprint! :chart_with_upwards_trend: Age-related shifts in metacognition are driven by converging confidence for correct and error judgments across the lifespan. Read it on PsyArXiv.
🎉 Our paper cpm: A Python library for theory-driven modelling in computational psychiatry is now published in PLOS Computational Biology! 📄 link
📢 Thrilled to share our latest publication! 🧠🤖 Schlegelmilch R and Dome L explore Snake Oil or Panacea? How to Misuse AI in Scientific Inquiries of the Human Mind in Behavioral Sciences (2026, 16(2):219). Dive into the full article here: https://doi.org/10.3390/bs16020219 🔍
Interested in how pressure reduces irrational generalization? Check out this Psychonomic Society post, written by Alyssa Asmar, beautifully summarising our article on the topic.
Check out our new paper, where we introduce g-distance to evaluate psychological models. Assessing not only how well models produce observed behaviours, but also how well they reject unobserved ones. Check it out at Psychological Review or read it here!
Surprisingly, irrational generalization decreases as task demands rise—but only for ambiguous items! The only model capturing all trends: rapid, competitive attentional shifts—a simpler alternative to the title-holder, EXIT. Check out our new paper in Psychonomic Bulletin & Review or read it here!
I have started a Postdoctoral Research position at the Developmental Computational Psychiatry lab at the University of Tübingen :sparkles:
Version 1.0.0 of psp now available on CRAN.
:exclamation: PAPER ALERT :exclamation: Dome and Wills (2023) Errorless irrationality: removing error-driven components from the inverse base-rate effect paradigm. In Proceedings of the Annual Meeting of the Cognitive Science Society 45 (45) 237-243
Version 1.0 of catlearn now available for download from CRAN. It has been downloaded 37,000 times.
psp is released! :sparkles: n-dimensional parameter space partitioning algorithm for evaluating formal computational models.