Research

Key Area Dynamics

We will explore the dynamics of transition and stability in sensory and cognitive systems, ranging from extremely rapid motion of the eyes, to very slow bodily changes during development and aging. Here, we focus on the most basic form of adaptation—dynamic gain regulation—through which sensitivity to signals is continuously adjusted. This simple mechanism provides a key building block for all other 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).
DOI
Cheeseman, J. R., Fleming, R., & Schmidt, F. (2021).
Scale Ambiguities in Material Recognition.
PsyArXiv Preprints
Churan, J., Kaminiarz, A., Schwenk, J. C., & Bremmer, F. (2021).
Coding of interceptive saccades in parietal cortex of macaque monkeys.
Brain Structure and Function, 226(8), 2707-2723.
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.
bioRxiv
McKay, C., Wijeakumar, S., Rafetseder, E., & Shing, Y. L. (2021).
Disentangling Age and Schooling Effects on Inhibitory Control Development: An fNIRS Investigation.
bioRxiv
Preißler, L., Jovanovic, B., Munzert, J., Schmidt, F., Fleming, R.W., & Schwarzer, G. (2021).
Effects of visual and visual-haptic perception of material rigidity on reaching and grasping in the course of development
Acta Psychologica, 221, November, 103457
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.
Schmitt, C., Schwenk, J. C. B., Schütz, A., Churan, J., Kaminiarz, A., Bremmer, F. (2021).
Preattentive processing of visually guided self-motion in humans and monkeys.
Progress in Neurobiology, 205, 102117.
DOI
Schultheis, M., Straub, D., & Rothkopf, C. A. (2021).
Inverse Optimal Control Adapted to the Noise Characteristics of the Human Sensorimotor System
arXiv preprint
Storrs, K. R., Anderson, B. L., & Fleming, R. W. (2021).
Unsupervised learning predicts human perception and misperception of gloss.
Nature Human Behaviour, 1-16.
DOI
Student J, Engel D, Timmermann L, Bremmer F, Waldthaler J (2022).
Visual Perturbation Suggests Increased Effort to Maintain Balance in Early Stages of Parkinson’s to be an Effect of Age Rather Than Disease.
Front. Hum. Neurosci. 16:762380.
Thoma, N., Yu, Z., Ventola, F., & Kersting, K. (2021).
RECOWNs: Probabilistic Circuits for Trustworthy Time Series Forecasting.
Proceedings of the 4th Workshop on Tractable Probabilistic Modeling (TPM 2021).
Trick, S., & Rothkopf, C. A. (2021).
A Normative Model of Classifier Fusion.
arXiv preprint
Ventola, F., Dhami, D. S., & Kersting, K. (2021).
Generative Clausal Networks: Relational Decision Trees as Probabilistic Circuits.
Proceedings of the 30th International Conference on Inductive Logic Programming (ILP).
Yu, Z., Dhami, D. S., & Kersting, K. (2021).
Sum-Product-Attention Networks: Leveraging Self-Attention in Probabilistic Circuits.
arXiv preprint
Yu, Z., Ventola, F. G., & Kersting, K. (2021).
Whittle networks: A deep likelihood model for time series.
International Conference on Machine Learning (PMLR), 12177-12186.
Yu, Z., Zhu, M., Trapp, M., Skryagin, A., & Kersting, K. (2021).
Leveraging Probabilistic Circuits for Nonparametric Multi-Output Regression.
Proceedings of the 37th Conference on Uncertainty in Artificial Intelligence (UAI 2021).
Zečević, M., Dhami, D. S., Rothkopf, C. A., & Kersting, K. (2021).
Structural Causal Interpretation Theorem.
arXiv preprint