1. 2020
  2. 2019
  3. Aczel, B., Hoekstra, R., Gelman, A., Wagenmakers, E-J., Klugkist, I. G., Rouder, J., ... Ravenzwaaij, van, D. (Accepted/In press). Discussion Points for Bayesian Inference. Nature Human Behaviour.
  4. van der Mijn, R., & van Rijn, H. (2019). Motivated Timing in a Real-Time Strategy Game: Starcraft2. Poster session presented at 2nd Annual Conference of the Timing Research Forum, Queretaro, Mexico.
  5. Shaqiri, A., Pilz, K. S., Cretenoud, A. F., Neumann, K., Clarke, A., Kunchulia, M., & Herzog, M. H. (2019). No Evidence for a Common Factor Underlying Visual Abilities in Healthy Older People. Developmental Psychology, 55(8), 1775-1787. https://doi.org/10.1037/dev0000740
  6. de Jong, J., Voelker, A., van Rijn, H., Stewart, T., & Eliasmith, C. (2019). Flexible timing with delay networks–The scalar property and neural scaling. In Proceedings of the 17th International Conference on Cognitive Modelling (pp. 77-82)
  7. Papadaki, D., Pilz, K. S., & Chakravarthi, R. (2019). Neural correlates of motion perception. i-Perception, 10, 14-15.
  8. van Hooijdonk, R., Mathot, S., Schat, E., Spencer, H., van der Stigchel, S., & Dijkerman, H. C. (2019). Touch-induced pupil size reflects stimulus intensity, not subjective pleasantness. Experimental Brain Research, 237(1), 201–210. https://doi.org/10.1007/s00221-018-5404-2
  9. van der Velde, M., Sense, F., Borst, J., & van Rijn, H. (2019). Kickstarting Adaptive Fact Learning Using Bayesian Modelling. Poster session presented at 17th International Conference on Cognitive Modeling, Montreal, Canada.
  10. Everhardt, M. K., Sarampalis, A., Coler, M., Başkent, D., & Lowie, W. (2019). Perception of L2 lexical stress in words degraded by a cochlear implant simulation. In S. Calhoun, P. Escudero, M. Tabain, & P. Warren (Eds.), Proceedings of the 19th International Congress of Phonetic Sciences, Melbourne, Australia 2019 (pp. 102–106). Canberra, Australia: Australasian Speech Science and Technology Association Inc..
  11. Sense, F., Jastrzembski, T. S., Mozer, M. C. M., Krusmark, M., & Rijn, van, H. (2019). Perspectives on Computational Models of Learning and Forgetting. In T. C. Stewart (Ed.), Proceedings of ICCM 2019: 17th International Conference on Cognitive Modelling (pp. 216-221). Applied Cognitive Science Lab.
  12. Gluck, K., Collins, M. G., Krusmark, M., Sense, F., Maaß, S., & Rijn, van, H. (2019). Predicting Performance in Cardiopulmonary Resuscitation. In T. C. Stewart (Ed.), Proceedings of ICCM 2019: 17th International Conference on Cognitive Modelling (pp. 53-58). Applied Cognitive Science Lab.
  13. Collins, M. W., Jastrzembski, T. S., Krusmark, M., Sense, F., Rijn, van, H., Harris, J., ... Martinez, S. (2019). Predictive Validity of a Cognitive Model in a Naturalistic Language Learning Task. In T. C. Stewart (Ed.), Proceedings of ICCM 2019: 17th International Conference on Cognitive Modelling Applied Cognitive Science Lab.
  14. Schlichting, N. (2019). Time & Other Dimensions. [Groningen]: University of Groningen. https://doi.org/10.33612/diss.97434922
  15. 2018
  16. Damsma, A., Schlichting, N., Eike, R., & van Rijn, D. (2018). Decoding the influence of context on time perception. Poster session presented at Annual meeting of the society for Neuroscience, San Diego, United States.
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