Postdoctoral Researcher
University of Tübingen
lenarddome [at] gmail [dot] com
I am a computational cognitive scientist at the University of Tübingen. My research develops and evaluates process models of learning, generalisation, and decision-making, with a central commitment to model adequacy: whether models capture the right mechanisms, not merely the right outcomes. Much of my work approaches this through when intelligent systems fail — irrational generalisation across supervised and unsupervised task structures, and the computational principles that persist across radically different learning conditions (10.48550/arXiv.2608.06149). Failures constrain the space of admissible mechanisms for biological intelligence far more sharply than successes do, since many mechanisms produce correct behaviour but only a few produce the right error under the right conditions. I am increasingly interested in extending this to any learning system, where the same logic applies: recent work of mine locates an instability in attention-learning architectures (used for theorising about human learning) and develops a general architectural change that fixes it — a result about a class of neural network architectures, derived rather than observed (10.48550/arXiv.2609.08615). Analysing learning dynamics in tractable models this way seems to me the most promising route to formal accounts that hold for learning in minds and machines alike.
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
Game of Life
Boids Swarm
Neural Network