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).

Cheeseman, J. R., Fleming, R. W., & Schmidt, F. (2022).
Scale ambiguities in material recognition.
iScience, 25(3):103970.

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.

Churan, J., Kaminiarz, A., Schwenk, J. C., & Bremmer, F. (2021).
Action-dependent processing of self-motion in parietal cortex of macaque monkeys.
Journal of Neurophysiology, 125(6), 2432-2443.

Dillmann, J.*, Sensoy, Ö.*, & Schwarzer, G. (2022). *shared first authorship
Parental perceived stress and its consequences on early social-emotional child development during COVID-19 pandemic.
Journal of Early Childhood Research, 1476718X221083423.

Dowiasch, S., Kaminiarz, A., & Bremmer, F. (2022).
The visual representation of space in the primate brain.
Neuroforum, 28(4), 199-209.

Engel, D., Student, J., Schwenk, J. C., Morris, A. P., Waldthaler, J., Timmermann, L., & Bremmer, F. (2021).
Visual perturbation of balance suggests impaired motor control but intact visuomotor processing in Parkinson’s disease.
Journal of Neurophysiology, 126(4), 1076-1089.

Flachot, A., Akbarinia, A., Schütt, H. H., Fleming, R. W., Wichmann, F. A., & Gegenfurtner, K. R. (2022).
Deep neural models for color classification and color constancy.
Journal of vision, 22(4), 17-17.

Gehb, G., Vesker, M., Jovanovic, B., Bahn, D., Kauschke, C., & Schwarzer, G. (2022).
The Relationship between Crawling and Emotion Discrimination in 9- to 10-Month-Old Infants.
Brain Sciences, 12(4), 479.

Goktepe, N., & Schütz, A. C. (2023).
Familiar objects benefit more from transsaccadic feature predictions.
Attention, Perception, & Psychophysics, 1-13.

Hesse, R., Schaub-Meyer, S., & Roth, S. (2021).
Fast axiomatic attribution for neural networks.
Advances in Neural Information Processing Systems, 34(2), 19513-19524.

Kadner, F., Thomas, T., Hoppe, D., & Rothkopf, C. A. (2023).
Improving saliency models' predictions of the next fixation with humans' intrinsic cost of gaze shifts.
In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (pp. 2104-2114).

Kavroulakis, E., van Kemenade, B. M., Arikan, B. E., Kircher, T., & Straube, B. (2022).
The effect of self- vs. externally generated actions on timing, duration and amplitude of BOLD response for visual feedback processing.
Human Brain Mapping, in press.

Kessler, F., Frankenstein, J., & Rothkopf, C. A. (2022).
A Dynamic Bayesian Actor Model explains Endpoint Variability in Homing Tasks.
bioRxiv

Linka, M., Sensoy, Ö., Karimpur, H., Schwarzer, G., de Haas, B. (2022).
Attentional biases in free viewing of complex scenes in preschoolers and adults.
PsyArXiv Preprints

Lubinus, C., Einhäuser, W., Schiller, F., Kircher, T., Straube, B. & van Kemenade, B.M. (2022).
Action-based predictions affect visual perception, neural processing, and pupil size, regardless of temporal predictability.
NeuroImage, in press.

McKay, C., Wijeakumar, S., Rafetseder, E., & Shing, Y. L. (2021).
Disentangling Age and Schooling Effects on Inhibitory Control Development: An fNIRS Investigation.
bioRxiv

McKay, C., Wijeakumar, S., Rafetseder, E., & Shing, Y. L. (2021).
Disentangling age and schooling effects on inhibitory control development: An fNIRS investigation.
Developmental Science: e13205. 205, 102117.

Men, H., Altin, A., & Schütz, A. C. (2023).
Underestimation of the number of hidden objects.
Journal of Vision, 23(2):1, 1–20.

Ortiz-Tudela, J., Bergmann, J., Bennett, M., Ehrlich, I., Muckli, L., & Shing, Y. L. (2023).
Concurrent contextual and time-distant mnemonic information co-exist as feedback in the human visual cortex.
NeuroImage, 265, 119778.

O’Leary, A., Fernàndez-Castillo, N., Gan, G., Yang, Y., Yotova, A. Y., Kranz, T. M., ... Kircher, T. …, Straube, B., ... Reif, A. (2022).
Behavioural and functional evidence revealing the role of RBFOX1 variation in multiple psychiatric disorders and traits.
Molecular Psychiatry, 1–10.

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

Prokott, E., & Fleming, R. W. (2022).
Identifying specular highlights: Insights from deep learning.
Journal of vision, 22(7), 6-6.

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.

Rosenblum, L., Grewe, E., Churan, J., & Bremmer, F. (2022).
Influence of Tactile Flow on Visual Heading Perception
Multisensory Research, 35(4), 291-308.

Rosenblum, L., Kreß, A., Schwenk, J. C., & Bremmer, F. (2022).
Visuo-tactile heading perception.
Journal of Neurophysiology, 128(5), 1355-1364.

Schmitt, C., Krala, M., & Bremmer, F. (2022).
Neural signatures of actively controlled self-motion and the subjective encoding of distance.
Eneuro.

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.

Schommartz, I., Lembcke, Ph. F., Pupillo, F., Schuetz, H., Wald de Chamorro, N., Bauer, M., Kaindl, A. M., Buss, C., & Shing, Y. L. (2023).
Distinct multivariate structural brain profiles are related to variations in short- and long-delay memory consolidation across children and young adults.
Developmental Cognitive Neuroscience, 59, 101192.

Schramowski, P., Turan, C., Andersen, N., Rothkopf, C. A., & Kersting, K. (2022).
Large pre-trained language models contain human-like biases of what is right and wrong to do.
Nature Machine Intelligence, 4(3), 258-268.

Schuetz, I. & Fiehler, K. (2022).
Eye tracking in virtual reality: Vive Pro Eye spatial accuracy, precision, and calibration reliability.
Journal of Eye Movement research, 15, 3.

Schuetz, I., Karimpur, H., & Fiehler, K. (2022).
vexptoolbox: A software toolbox for human behavior studies using the Vizard virtual reality platform.
Behavior Research Methods, 1-13.

Schultheis, M., Rothkopf. C. A., Koeppl, H. (2022).
Reinforcement learning with non-exponential discounting.
Neural Information Processing Systems

Schultheis, M., Straub, D., & Rothkopf, C. A. (2021).
Inverse optimal control adapted to the noise characteristics of the human sensorimotor system.
Advances in Neural Information Processing Systems, 34, 9429-9442.

Schwarzer, G., Gehb, G., Kelch, A., Gerhard-Samunda, T., Jovanovic, B. (2022).
Locomotion training contributes to 6-month-old infants' mental rotation ability.
Human Movement Science, Volume 85, October 2022, 102979

Stewart, E.E.M., Hartmann, F.T., Morgenstern, Y., Storrs, K.R., Maiello G., & Fleming R.W. (2022).
Mental object rotation based on two-dimensional visual representations.
Current Biology 32, R1201–R1225.

Storrs, K. R., Anderson, B. L., & Fleming, R. W. (2021).
Unsupervised learning predicts human perception and misperception of gloss.
Nature Human Behaviour, 1-16.

Straube, B., Kuehne, H., van Dam, L., Frey, K., van Kemenade, B.M., Kircher, T., & Ried, L. (2022).
Speech-gesture mismatch detection in individuals with high vs. low schizotypal traits.
International Consortium on Schizotypy Research, ICSR 2022.

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.

Tamura, H., Prokott, K. E., & Fleming, R. W. (2022).
Distinguishing mirror from glass: A “big data” approach to material perception.
Journal of vision, 22(4), 4-4.

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).

Tiedemann, H., Morgenstern, Y., Schmidt, F., & Fleming, R. W. (2022).
One-shot generalization in humans revealed through a drawing task.
eLife, 11.

Tiedemann, H., Schmidt, F., Fleming, R.W. (2022).
Superordinate Categorization Based on the Perceptual Organization of Parts.
Brain Sciences, 12, 667.

Trick, S., & Rothkopf, C. A. (2022).
Bayesian Classifier Fusion with an Explicit Model of Correlation.
In International Conference on Artificial Intelligence and Statistics (pp. 2282-2310). PMLR.

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).

Wroblewski, A., Hollandt, M., Yang, Y., Ridderbusch, I.C., Pietzner, A., Szeska, C., Lotze, M., Wittchen, H.-U., Heinig, I., Pittig, A., Arolt, V., Koelkebeck, K., Rothkopf, C.A., Adolph, D., Margraf, J., Lueken, U., Pauli, P., Herrmann, M.J., Winkler, M.H., Ströhle, A., Dannlowski, U., Kircher, T., Hamm, A.O., Straube, B.* & Richter, J.* (2022). *contributed equally
Sometimes I feel the fear of uncertainty stinging clear: How Intolerance of Uncertainty and Trait Anxiety impact fear acquisition, extinction and the return of fear.
PsyArXiv Preprints

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