Book (1)

2024
Book
Kühn, S. (Ed.). (2024). Environmental neuroscience. Springer.

Book Chapter (5)

2024
Book Chapter
Beyer, M., Sudimac, S., Steininger, M. O., & Kühn, S. (2024). Interplay between the physical environment and the human brain: A review of MRI research. In S. Kühn (Ed.), Environmental neuroscience (pp. 31–70). Springer. https://doi.org/10.1007/978-3-031-64699-7_3
Book Chapter
Brandmaier, A. M. (2024). Machine learning for mobile sensing data. In M. R. Mehl, M. Eid, C. Wrzus, G. M. Harari, & U. W. Ebner-Priemer (Eds.), Mobile sensing in psychology: Methods and applications (pp. 409–431). Guilford Press.
Book Chapter
Brandmaier, A. M. (2024). Big data dimensionality reduction methods. In M. R. Mehl, M. Eid, C. Wrzus, G. M. Harari, & U. W. Ebner-Priemer (Eds.), Mobile sensing in psychology: Methods and applications (pp. 456–476). Guilford Press.
Book Chapter
Kühn, S. (2024). Preface. In S. Kühn (Ed.), Environmental neuroscience (pp. V-VIII). Springer.
Book Chapter
Tawil, N., & Kühn, S. (2024). The built environment and the brain: Review of emerging methods to investigate the impact of viewing architectural design. In S. Kühn (Ed.), Environmental neuroscience (pp. 169–226). Springer. https://doi.org/10.1007/978-3-031-64699-7_9

Conference Paper (7)

2024
Conference Paper
Bergner, J., Dahl, M. J., Klein, F., Schröder, S., Sladeczek, C., Werner, A., Beer, D., Feg, T., Ascone Michelis, L., Kühn, S., Lindenberger, U., & Bös, J. (2024). Virtuelle akustische Umgebungen zur Förderung von mentaler Gesundheit. In J. Peissig & R. Rolfes (Eds.), Fortschritte der Akustik: DAGA 2024 (pp. 1597–1599). Deutsche Gesellschaft für Akustik e.V. (DEGA).
Conference Paper
Hall-McMaster, S., Tomov, M. S., Gershman, S. J., & Schuck, N. W. (2024). Neural prioritisation of past solutions supports generalisation. In CCN 2024: the 7th annual conference on Cognitive Computational Neuroscience.
Conference Paper
Löwe, A. T., Petzka, M., Tzegka, M., & Schuck, N. W. (2024). Sleep inspires insight: A preregistered study. In CCN 2024: the 7th annual conference on Cognitive Computational Neuroscience.
Conference Paper
Mazor, M., Moran, R., & Press, C. (2024). The role of counterfactual visibility in inference about absence. In L. K. Samuelson, S. L. Frank, M. Toneva, A. Mackey, & E. Hazeltine (Eds.), Proceedings of the Annual Meeting of the Cognitive Science Society (Vol. 46, pp. 1182–1189). UC Merced.
Conference Paper
Mostajeran, F., Schneider, S., Bruder, G., Kühn, S., & Steinicke, F. (2024). Analyzing cognitive demands and detection thresholds for redirected walking in immersive forest and urban environments. In 2024 IEEE Conference Virtual Reality and 3D User Interfaces (VR) (pp. 61–71). IEEE. https://doi.org/10.1109/VR58804.2024.00030
Conference Paper
Seow, T. X. F., McFadyen, J., Dolan, R. J., & Hauser, T. U. (2024). Excessive neural replay of aversive and uncertain options predicts human irrational decision-making. In CCN 2024: the 7th annual conference on Cognitive Computational Neuroscience.
Conference Paper
Zalta, A., Skvortsova, V., Hewitt, S., Moutoussis, M., Nour, M. M., Dolan, R. J., Findling, C., Hauser, T. U., & Wyart, V. (2024). Positive reward bias on human reinforcement learning under increased dopaminergic neurotransmission. In CCN 2024: the 7th annual conference on Cognitive Computational Neuroscience.

Report (1)

2024
Report
Nationale Akademie der Wissenschaften Leopoldina [Members of the MPIB: Ralph Hertwig, Ulman Lindenberger]. (2024). Förderung der Selbstregulationskompetenzen von Kindern und Jugendlichen in Kindertageseinrichtungen und Schulen [Stellungnahme]. Nationale Akademie der Wissenschaften Leopoldina. https://doi.org/10.26164/leopoldina_03_01157

Issue (1)

2024
Issue
Dahl, M. J., Werkle-Bergner, M., & Mather, M. (Eds.). (2024). Neuromodulatory systems in aging and disease [Special issue]. Neuroscience & Biobehavioral Reviews, .

Book Review (1)

2024
Book Review
Fleming, S. M. (2024, April 8). Hacking the predictive mind [Review of the book The experience machine: How our minds predict and shape reality by Andy Clark]. Brain, 147(4), 1589–1592. https://doi.org/10.1093/brain/awad417

Registered Report (1)

2024
Registered Report
Bruntsch, M., Cooper, S. E., Abend, R., Boor, M., Chalkia, A., Czeszumski, A., Ehlers, M. R., Johnson, D. C., Klingelhöfer-Jens, M., Morriss, J., Mueller, E. M., Zika, O., & Lonsdorf, T. B. (2024). Associations between anxiety-related traits and fear acquisition and extinction: An item-based content and meta-analysis [Stage 1 Registered Report] (Version posted online June 20, 2024). PsyArXiv, April 26, 2024. https://doi.org/10.31234/osf.io/unx7w

Preprint (23)

2024
Preprint
Chen, Z., Zheng, H., Zhou, J., Zheng, L., Lin, P., Wang, H., Dolan, R., Behrens, T., & Liu, Y. (2024). Interpreting sleep activity through neural contrastive learning. BioRxiv, September 27, 2024. https://doi.org/10.1101/2024.09.25.615100
Preprint
del Río, M., Trudel, N., Prabhu, G., Hunt, L. T., Moutoussis, M., Dolan, R. J., & Hauser, T. U. (2024). Indecision and recency-weighted evidence integration in non-clinical and clinical settings. BioRxiv, November 13, 2024. https://doi.org/10.1101/2024.11.11.622934
Preprint
Deng, Q., Levitis, E., Adams, R., & Altmann, A. (2024). Normative models reveal distinct cortical abnormalities to dimensions of psychopathologies in preadolescents. BioRxiv, December 02, 2024. https://doi.org/10.1101/2024.11.29.626043
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