Data Hub

All work will be embedded in the Data Hub for storing, mining and publishing data to make them findable, accessible, interoperable and reusable (FAIR). The Data Hub will be particularly useful for understanding natural behavior, working on longitudinal questions, and combining data from healthy individuals and patients with mental disorders. It is a fundamental scientific tool for resolving the complexities of the human mind addressed in the five Key Areas.

New project-related publications
Arikan, B. E., van Kemenade, B. M., Fiehler, K., Kircher, T., Drewing, K., & Straube, B. (2021).
Different contributions of efferent and reafferent feedback to sensorimotor temporal recalibration.
Scientific Reports, 11(1).
Kavroulakis, E., van Kemenade, B. M., Arikan, B. E., Kircher, T., & Straube, B. (2021).
The effect of self-vs. externally generated actions on timing, duration and amplitude of BOLD response for visual feedback processing.
Meibodi, N., Abbasi, H., Schubö, A., & Endres, D. M. (2021).
A model of selection history in visual attention.
In Proceedings of the Annual Meeting of the Cognitive Science Society 43(43), 707-713.
Ridderbusch, I. C., Wroblewski, A., Yang, Y., Richter, J., Hollandt, M. Hamm, A. O., Wittchen, H.-U., Ströhle, A., Arolt, V., Margraf, J., Lueken, U., Hermann, M. J., Kircher, T. & Straube, B. (2021).
Neural adaptation of cingulate and insular activity during delayed fear extinction: A replicable pattern across assessment sites and repeated measurements.
NeuroImage, 237, 118157.
Schultheis, M., Straub, D., & Rothkopf, C. A. (2021).
Inverse Optimal Control Adapted to the Noise Characteristics of the Human Sensorimotor System
arXiv preprint
Trick, S., & Rothkopf, C. A. (2021).
A Normative Model of Classifier Fusion.
arXiv preprint
Zečević, M., Dhami, D. S., Rothkopf, C. A., & Kersting, K. (2021).
Structural Causal Interpretation Theorem.
arXiv preprint