I work on theories of learning and cognition: learning dynamics, generalisation, and the formal evaluation of network models. One of my central concern is model adequacy, meaning whether a model captures the right mechanism and not just the right outcome.
I study this through failure. Many mechanisms produce correct behaviour, but few produce the right error under the right conditions, so failures constrain theories far more sharply than successes do. My work traces irrational generalisation across supervised and unsupervised learning arXiv:2608.06149, and identifies an instability in attention-learning networks along with an architectural fix that applies to the whole class arXiv:2609.08615.
The same logic holds for minds and machines alike. I am also interested in what it reveals about when decision-making fails, both as a lens on psychiatric conditions and as a basis for systems that support rather than supplant human judgment.
Publications
- Dome, L. (2026). Why Shared Attention Vectors Fail: A Case for Outcome-Indexed Tuning. ArXiv., arXiv:2609.08615. https://doi.org/10.48550/arXiv.2609.08615
- Dome, L., & Wills, A. J. (2026). Errorless Irrationality: A Unified Computational Account of the Inverse Base-Rate Effect across Predictive, Observational, and Unsupervised Procedures. ArXiv., arXiv:2608.06149. https://doi.org/10.48550/arXiv.2608.06149
- Marzuki, A. A., Kosina, L. A., Dome, L., Hewitt, S. R. C., & Hauser, T. U. (2026). Drops in Confidence Precede Symptoms of Obsessive-Compulsive Disorder. Nature Communications., 17(1), 8333. https://doi.org/10.1038/s41467-026-76671-5
- Dome, L., Moses-Payne, M., Skvortsova, V., & Hauser, T. U. (2026). Age-related shifts in metacognition are driven by converging confidence for correct and error judgments across the lifespan. PsyArXiv. https://doi.org/10.31234/osf.io/ugb9s_v1
- Dome, L., Hezemans, F. H., Kadri, K., Wagner, B. J., Webb, A., & Hauser, T. U. (2026). cpm: A Python Library for Theory-Driven Modelling in Computational Psychiatry. PLOS Computational Biology., 22(7), 1–31. https://doi.org/10.1371/journal.pcbi.1014481
- Schlegelmilch, R., & Dome, L. (2026). Snake oil or Panacea? How to Misuse AI in Scientific Inquiries of the Human Mind. Behavioral Sciences., 16(2). https://doi.org/10.3390/bs16020219
- Dome, L., & Wills, A. J. (2025). g-Distance: On the Comparison of Model and Human Heterogeneity. Psychological Review, 132(3), 632–655. https://doi.org/10.1037/rev0000550
- Dome, L., & Wills, A. J. (2025). Better generalization through distraction? Concurrent load reduces the size of the inverse base-rate effect. Psychonomic Bulletin & Review. https://doi.org/10.3758/s13423-025-02661-1
- Dome, L., & Wills, A. J. (2023). Errorless irrationality: removing error-driven components from the inverse base-rate effect paradigm. Proceedings of the Annual Meeting of the Cognitive Science Society., 45(45), 237–243. https://doi.org/10.31234/osf.io/936bj
- Dome, L., Edmunds, C. E. R., & Wills, A. J. (2021). SUSTAIN captures category learning, recognition, and hippocampal activation in a unidimensional vs information-integration task. Proceedings of the Annual Meeting of the Cognitive Science Society., 43, 3013–3019. https://escholarship.org/uc/item/5r98q3dr
- Spicer, S. G., Wills, A. J., Jones, P. M., Mitchell, C. J., & Dome, L. (2021). Representing uncertainty in the Rescorla-Wagner model: blocking, the redundancy effect, and outcome base rate. Open Journal of Experimental Psychology and Neuroscience. https://doi.org/10.46221/ojepn.2021.66233
- Wimmer, M. C., Dome, L., Hancock, P. J. B., & Wennekers, T. (2019). Is the Letter Cancellation Task a Suitable Index of Ego Depletion? Social Psychology, 345–354. https://doi.org/10.1027/1864-9335/a000393