prof. dr. D.H. (Hedderik) van Rijn

Faculteit Gedrags- & Maatschappijwetenschappen

Telefoon:

050 36 36290

E-mail:

d.h.van.rijn rug.nl

Homepage ORCID Research Portal

Publicaties

A Unified Neurocomputational Model of Prospective and Retrospective Timing

de Jong, J., Akyürek, E. & van Rijn, H., 2024, (Accepted/In press) In: Psychological Review.

Onderzoeksoutput › › peer review

Large-scale evaluation of cold-start mitigation in adaptive fact learning: Knowing “what” matters more than knowing “who”

van der Velde, M., Sense, F., Borst, J. P. & Rijn, H. V., sep.-2024, In: User Modeling and User-Adapted Interaction. 34, blz. 1467–1491 25 blz.

Onderzoeksoutput › › peer review

Memory traces of duration and location in the right intraparietal sulcus

Riemer, M., Wolbers, T. & van Rijn, H., 15-aug.-2024, In: Neuroimage. 297, 11 blz., 120706.

Onderzoeksoutput › › peer review

Modality Matters: Evidence for the Benefits of Speech-Based Adaptive Retrieval Practice in Learners with Dyslexia

Wilschut, T., Sense, F. & van Rijn, H., 10-nov.-2024, (E-pub ahead of print) In: Topics in Cognitive Science.

Onderzoeksoutput › › peer review

Speaking to remember: Model-based adaptive vocabulary learning using automatic speech recognition

Wilschut, T., Sense, F. & van Rijn, H., mrt.-2024, In: Computer Speech and Language. 84, 101578.

Onderzoeksoutput › › peer review

Adaptive Encoding Speed in Working Memory

Jong, J. D., Rijn, H. V. & Akyürek, E. G., jul.-2023, In: Psychological Science. 34, 7, blz. 822-833 12 blz.

Onderzoeksoutput › › peer review

Breaking New Ground in Computational Psychiatry: Model-Based Characterization of Forgetting in Healthy Aging and Mild Cognitive Impairment

Hake, H. S., Leonard, B., Ulibarri, S., Grabowski, T., Rijn, H. V. & Stocco, A., 14-mei-2023, MedRxiv, 7 blz.

Onderzoeksoutput: Voordruk ›

Improving Adaptive Learning Models Using Prosodic Speech Features

Wilschut, T., Sense, F., Scharenborg, O. & van Rijn, H., 2023, Artificial Intelligence in Education - 24th International Conference, AIED 2023, Proceedings. Wang, N., Rebolledo-Mendez, G., Matsuda, N., Santos, O. C. & Dimitrova, V. (uitgave). Springer, blz. 255-266 12 blz. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13916 LNAI).

Onderzoeksoutput › › peer review

Prior Knowledge Norms for Naming Country Outlines: An Open Stimulus Set

Wilschut, T., Velde, M. V. D., Sense, F. & Rijn, H. V., 30-jan.-2023, In: Journal of Cognition. 6, 1, 8 blz., 14.

Onderzoeksoutput › › peer review

Addendum: Implicit learning of temporal behavior in complex dynamic environments

Salet, J. M., Schlichting, N., Kruijne, W. & van Rijn, H., dec.-2022, In: Psychonomic Bulletin and Review. 29, 6, blz. 2325-2329 5 blz.

Onderzoeksoutput › › peer review

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