Research

Key Area Dynamics

We are exploring 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

Aizenman, A. M., Gegenfurtner, K. R., & Goettker, A. (2024).
Oculomotor routines for perceptual judgments.
Journal of Vision, 24(5), 3-3.

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).

Aubuchon, C., Emily, A., Domini, F., Muryy, A., & Fleming, R. W. (2025).
Perceived 3D shape of mirror-like objects: interactions of monocular and binocular cues.
Journal of Vision, 25(9), 2483-2483.

Aubuchon, C., Vergne, R., Cholewiak, S. A., Kunsberg, B., Holtmann-Rice, D., Zucker, S., & Fleming, R. (2024).
(2024). Orientation fields predict perception of 3D shape from shading.

Bahmani, S., Hahn, O., Zamfir, E., Araslanov, N., Cremers, D., & Roth, S. (2022).
Semantic Self-adaptation: Enhancing Generalization with a Single Sample. Transactions on Machine Learning Research (TMLR).

Baykan, C., & Schütz, A. C. (2025).
Electroencephalographic Responses to the Number of Objects in Partially Occluded and Uncovered Scenes.
Journal of cognitive neuroscience, 37(1), 227-238.

Baykan, C., & Schütz, A. C. (2025).
Eye movements do not preferentially test inferences in the blind spot.
Scientific Reports, 15, 43589.

Baykan, C., Mamassian, P., & Schütz, A. C. (2025).
Confidence in auditory perceptual completion.
Neuroscience of Consciousness, 2025(1), niaf018.

Baykan, C., Mamassian, P., & Schütz, A. C. (2026).
Low confidence for perceptual completion of partially occluded objects.
Journal of Vision, 26(1), 4, 1–14.

Bellagente, M., Brack, M., Teufel, H., Friedrich, F., Deiseroth, B., Eichenberg, C., Kersting, K., ... & Weinbach, S. (2024).
Multifusion: Fusing pre-trained models for multi-lingual, multi-modal image generation.
Advances in Neural Information Processing Systems, 36.

Böhm, A., Schneider, T., Belousov, B., Kshirsagar, A., Lin, L., Doerschner, K., ... & Peters, J. (2024).
What matters for active texture recognition with vision-based tactile sensors.
arXiv preprint 2403, 13701.

Brack, M., Friedrich, F., Hintersdorf, D., Struppek, L., Schramowski, P., & Kersting, K. (2024).
SEGA: Instructing text-to-image models using semantic guidance.
Advances in Neural Information Processing Systems, 36.

Brack, M., Katakol, S., Friedrich, F., Schramowski, P., Ravi, H., Kersting, K., & Kale, A. (2025).
How to Train your Text-to-Image Model: Evaluating Design Choices for Synthetic Training Captions.
arXiv preprint, 2506.16679.

Brack, M., Schramowski, P., Deiseroth, B., & Kersting, K. (2023).
Illume: Rationalizing vision-language models through human interactions.

Brand, T. K., Schütz, A. C., Müller, H., Maurer, H., Hegele, M., & Maurer, L. K. (2024).
Sensorimotor prediction is used to direct gaze toward task-relevant locations in a goal-directed throwing task.
Journal of Neurophysiology, 132(2), 485-500.

Brand, T. K., Schütz, A. C., Müller, H., Maurer, H., Hegele, M., & Maurer, L. K. (2025).
Predicted task success and outcome history mediate eye movements toward locations with high informational or motivational value.
Journal of Neurophysiology, 134(2), 568-579.

Busch, F. P., Kamath, R., Mitchell, R., Stammer, W., Kersting, K., & Mundt, M. (2024).
Where is the truth? the risk of getting confounded in a continual world.
arXiv preprint arXiv: 2402.06434.

Carter, A. A., & Kaiser, D. (2024).
An object numbering task reveals an underestimation of complexity for typically structured scenes.
Psychonomic Bulletin & Review, 1-10.

Cavdan, M., Kapucu, A., Doerschner, K., & Drewing, K. (2024).
Happiness promotes global processing in haptic perception.
bioRxiv, 2024-07.

Caziot, B., Fathkhani, S., & Bremmer, F. (2025).
Coding of egocentric distance in the macaque ventral intraparietal area.
iScience, 28(3).

Cheeseman, J. R., Ferwerda, J. A., Morimoto, T., & Fleming, R. W. (2025).
Gloss discrimination: Toward an image-based perceptual model.
Journal of Vision, 25(10), 6.

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.

Davidson, C., Shing, Y. L., McKay, C., Rafetseder, E., & Wijeakumar, S. (2023).
The first year in formal schooling improves working memory and academic abilities.
Developmental Cognitive Neuroscience, 60, 101205.

Davidson, Ch., Shing, Y. L., McKay, C. Rafetseder, E., & Wijeakumar, S. (2023).
The first year in formal schooling improves working memory and academic abilities.
Developmental Cognitive Neuroscience, 60, 101205.

Dehn, K. I., Maiello, G., Hartmann, F. T., Morgenstern, Y., Hawkins, S. J., Offner, T., ... & Fleming, R. W. (2025).
Human shape perception spontaneously discovers the biological origin of novel, but natural, stimuli.
Journal of the Royal Society Interface, 22(226), 20240931.

Deiseroth, B., Brack, M., Schramowski, P., Kersting, K., & Weinbach, S. (2024).
T-FREE: Subword tokenizer-free generative LLMs via sparse representations for memory-efficient embeddings.
arXiv preprint arXiv: 2406.19223.

Deiseroth, B., Deb, M., Weinbach, S., Brack, M., Schramowski, P., & Kersting, K. (2024).
Atman: Understanding transformer predictions through memory efficient attention manipulation.
Advances in Neural Information Processing Systems, 36.

Delfosse, Q., Blüml, J., Tatai, F., Vincent, T., Gregori, B., Dillies, E., ... & Kersting, K. (2025).
Deep Reinforcement Learning Agents are not even close to Human Intelligence.
arXiv preprint arXiv:2505.21731.

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., Blanke, M., Knöll, J., & Bremmer, F. (2023).
Spatial localization during open-loop smooth pursuit.
Frontiers in Neuroscience, 17, 1058340.

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

Eckert, A., Blume, J. S., Knopp, B., Schütz, A. C., & Endres, D. (2024).
Distinct Biases Shape Perceptual Inference Dynamics Along the Autism-Psychosis Spectra.

Ehrlich, I., Ortiz-Tudela, J., Tan, Y. Y., Muckli, L., & Shing, Y. L. (2024).
Mnemonic but not contextual feedback signals defy dedifferentiation in the aging early visual cortex.
Journal of neuroscience, 44(16).

Endres, J., Hahn, O., Corbière, C., Schaub-Meyer, S., Roth, S., & Alahi, A. (2025).
Boosting Omnidirectional Stereo Matching with a Pre-trained Depth Foundation Model.
Proc of the IEEE/RSJ International Conference on Intelligent Robots and Systems.

Endres, J., Hahn, O., Corbière, C., Schaub-Meyer, S., Roth, S., & Alahi, A. (2025).
Boosting Omnidirectional Stereo Matching with a Pre-trained Depth Foundation Model.
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Engel, D., Greulich, R. S., Parola, A., Vinehout, K., Dowiasch, S., Waldthaler, J., ... & Bremmer, F. (2023).
Convolutional neural network reveals frequency content of medio-lateral COM body sway to be highly predictive of Parkinson's disease.
medRxiv, 2023-05.

Engel, D., Greulich, R. S., Parola, A., Vinehout, K., Student, J., Waldthaler, J., ... & Bremmer, F. (2025).
Sway frequencies may predict postural instability in Parkinson’s disease: a novel convolutional neural network approach.
Journal of NeuroEngineering and Rehabilitation, 22(1), 29.

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.

Falck, J., Zhang, L., Raffington, L., Mohn, J. J., Triesch, J., Heim, C., & Shing, Y. L. (2023).
Longitudinal Changes in Value-based Learning in Middle Childhood: Distinct Contributions of Hippocampus and Striatum.
bioRxiv preprint

Filip, J., Dechterenko, F., Schmidt, F., Lukavsky, J., Kotera, J., Vilimovska, V., & Fleming, R. W. (2025).
Material fingerprinting: predicting human perception of material appearance through psychophysical analysis and neural networks.
Royal Society Open Science, 12(11).

Filip, J., Dechterenko, F., Schmidt, F., Lukavsky, J., Vilimovska, V., Kotera, J., & Fleming, R. W. (2024).
Material Fingerprinting: Identifying and Predicting Perceptual Attributes of Material Appearance.
arXiv preprint arXiv: 2410.13615.

Filip, J., Lukavský, J., Děchtěrenko, F., Schmidt, F., & Fleming, R. W. (2024).
Perceptual dimensions of wood materials.
Journal of Vision, 24(5), 12.

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.

Friedrich, F., Hämmerl, K., Schramowski, P., Brack, M., Libovický, J., Fraser, A., & Kersting, K. (2025).
Multilingual text-to-image generation magnifies gender stereotypes.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics, 19656-19679.

Friedrich, F., Stammer, W., Schramowski, P., & Kersting, K. (2023).
A typology for exploring the mitigation of shortcut behaviour.
Nature Machine Intelligence, 5(3), 319-330.

Friedrich, F., Stammer, W., Schramowski, P., Kersting, K. (2023).
Revision Transformers: Instructing Language Models to Change their Values. In
Proceedings of the 26th European Conference on Artificial Intelligence (ECAI).

Friedrich, F., Tedeschi, S., Schramowski, P., Brack, M., Navigli, R., Nguyen, H., ... & Kersting, K. (2025).
Llms lost in translation: M-alert uncovers cross-linguistic safety gaps.
ICLR 2025 Workshop on Building Trust in Language Models and Applications.

Friedrich, F., Welsch, T. G., Brack, M., Schramowski, P., & Kersting, K. (2025).
Beyond Overcorrection: Evaluating Diversity in T2I Models with DIVBENCH.
arXiv preprint: 2507.03015.

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.

Goettker, A., & Gegenfurtner, K. R. (2024).
Individual differences link sensory processing and motor control.
Psychological Review.

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

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

Goktepe, N., & Schütz, A. C. (2024).
Frequency-specific and periodic masking of peripheral characters by delayed foveal input.
In Scientific Reports 14(1), 4642.

Goll, Z. R., Schmidt, F., A-Izzeddin, E. J., Aubuchon, C., Kiliç, F., & Fleming, R. W. (2025).
Spatio-chromatic cues in shape and material perception.
Journal of Vision, 25(9), 2088-2088.

Gong, X., Hahn, O., Reich, C., Singh, K., Schaub-Meyer, S., Cremers, D., & Roth, S. (2025).
Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery.
IEEE International Conference on Computer Vision (ICCV) Workshops.

Guerrero‐Viu, J., Subias, J. D., Serrano, A., Storrs, K. R., Fleming, R. W., Masia, B., & Gutierrez, D. (2024).
Predicting Perceived Gloss: Do Weak Labels Suffice?.
Computer Graphics Forum (43)2, e15037.

Habibi, M., Coe, B. C., Brien, D. C., Huang, J., Riek, H. C., Bremmer, F., ... & Munoz, D. P. (2025).
RSaccade, pupil, and blink abnormalities in prodromal and manifest alpha-synucleinopathies.
Journal of Parkinson’s Disease, 15(2), 300-310.

Hahn, O., Araslanov, N., Schaub-Meyer, S., & Roth, S. (2024).
Boosting Unsupervised Semantic Segmentation with Principal Mask Proposals.
arXiv preprint2404.16818.

Hahn, O., Reich, C., Araslanov, N., Cremers, D., Rupprecht, C., & Roth, S. (2025).
Scene-Centric Unsupervised Panoptic Segmentation.
Proceedings of the Computer Vision and Pattern Recognition Conference, 24485-24495.

Härle, R., Friedrich, F., Brack, M., Deiseroth, B., Schramowski, P., & Kersting, K. (2024).
SCAR: Sparse conditioned autoencoders for concept detection and steering in LLMs.
arXiv preprint arXiv: 2411.07122.

Härle, R., Friedrich, F., Brack, M., Wäldchen, S., Deiseroth, B., Schramowski, P., & Kersting, K. (2025).
Measuring and Guiding Monosemanticity.
arXiv preprint, 2506.19382.

Helff, L., Friedrich, F., Brack, M., Kersting, K., & Schramowski, P. (2024).
Llavaguard: An open vlm-based framework for safeguarding vision datasets and models.
arXiv preprint arXiv: 2406.05113.

Hesse, R., Bağcı, D., Schiele, B., Schaub-Meyer, S., & Roth, S. (2025).
Beyond Accuracy: What Matters in Designing Well-Behaved Models?.
arXiv preprint arXiv: 2503.17110

Hesse, R., Fischer, J., Schaub-Meyer, S., & Roth, S. (2025).
Disentangling Polysemantic Channels in Convolutional Neural Networks.
Proceedings of the Computer Vision and Pattern Recognition Conference, 4799-4803.

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

Hesse, R., Schaub-Meyer, S., & Roth, S. (2023).
Funnybirds: A synthetic vision dataset for a part-based analysis of explainable ai methods.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 3981-3991.

Hesse, R., Schaub-Meyer, S., & Roth, S. (2024).
Benchmarking the attribution quality of vision models.
Advances in Neural Information Processing Systems, 37, 97928-97947.

Hesse, R., Schaub-Meyer, S., & Roth, S. (2023) (2023).
Content-adaptive downsampling in convolutional neural networks.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 4544-4553.

Hilbert, K., Böhnlein, J., Meinke, C., Chavanne, A., Langhammer, T., Stumpe, L., Winter, N., Kircher, T., Rief, W., Straube, B., Roesmann, K., Leehr, E.J., Dannlowski, U., & Lueken, U., (2024).
Lack of evidence for predictive utility from resting state fMRI data for individual exposure-based cognitive behavioral therapy outcomes: A machine learning study in two large multi-site samples in anxiety disorders.
NeuroImage, 295, 120639.

Jevtić, A., Reich, C., Wimbauer, F., Hahn, O., Rupprecht, C., Roth, S., & Cremers, D. (2025).
Feed-Forward SceneDINO for Unsupervised Semantic Scene Completion.
Proc. of the Twentieth IEEE International Conference on Computer Vision.

Jevtić, A., Reich, C., Wimbauer, F., Hahn, O., Rupprecht, C., Roth, S., & Cremers, D. (2025).
Feed-Forward SceneDINO for Unsupervised Semantic Scene Completion.
IEEE International Conference on Computer Vision (ICCV)

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).

Kaiser, D., Stecher, R., Dörschner-Boyaci, K. (2023).
EEG decoding reveals neural predictions for naturalistic material behaviors.
bioRxiv preprint

Kamath, R., Mitchell, R., Paul, S., Kersting, K., & Mundt, M. (2024).
BOWL: A Deceptively Simple Open World Learner.
arXiv preprint arXiv: 2402.04814.

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

Kessler, F., Frankenstein, J., & Rothkopf, C. A. (2024).
Human navigation strategies and their errors result from dynamic interactions of spatial uncertainties.
Nature Communications, 15(1), 5677.

König, A., Bremmer, F., Dowiasch, S. (2023).
Quantitative comparison of a mobile, tablet-based and two stationary, video-based eye-trackers.
bioRxiv, 2023-06.

Koosha, T. A., Kshirsagar, A., Augustat, N., Hahne, F., Mühl, D., Melzig, C. A., Bremmer, F., Peters, J., & Endres, D. M. (2025).
Staring down the elevator shaft: Postural responses to virtual heights in an indoor environment.
Proceedings of the Annual Meeting of the Cognitive Science Society (CogSci).

Koosha, T.A., Hahne, F., Kshirsagar, A., Augustat, N., Melzig, C.A., Bremmer, F., Peters, J., & Endres, D.M. (2025).
Inferring Height-Induced Changes in Postural Control via Inverse Optimal Control.
Conference on Cognitive Computational Neuroscience (CCN).

Kraus, M., Divo, F., Steinmann, D., Dhami, D. S., & Kersting, K. (2024) (2024).
United We Pretrain, Divided We Fail! Representation Learning for Time Series by Pretraining on 75 Datasets at Once.
arXiv preprint arXiv: 2402.15404.

Kraus, M., Steinmann, D., Wüst, A., Kokozinski, A., & Kersting, K. (2024).
Right on time: Revising time series models by constraining their explanations.
arXiv preprint:2402.12921

Kreß, A., Lappe, M., & Bremmer, F. (2024).
Comprehensive VR Dataset for Machine Learning: Head-and Eye-Centred Video and Positional Data.
Data in Brief, 111187.

Kretzmeyer, B., Rothkopf, C. A., & Fiehler, K. (2026).
Predictive use of environmental regularities requires action relevance.
Scientific Reports, 16, 1596.

Kufer, K., Schmitter, C. V., Kircher, T., & Straube, B. (2023).
Temporal recalibration in response to delayed visual feedback of active versus passive actions: An fMRI study.

Langhammer, T., Hilbert, K., Adolph, D., Arolt, V., Bischoff, S., Böhnlein, J., Kircher, T., Straube, B., ... & Lueken, U. (2025).
Resting-state functional connectivity in anxiety disorders: a multicenter fMRI study.
Molecular psychiatry, 30(4), 1548-1557.

Leehr, E. J., Groß, J., Hofmann, S. G., Kanske, P., Kircher, T., Nenadić, I., ... & Förster, K. (2025).
What to target? Interventions to modulate key mechanisms underlying the trajectories of affective disorders in the transregional collaborative research center 393.
Der Nervenarzt, 1-7.

Lepori, F., Hartmann, F. T., Dehn, K. I., Chessa, M., Fleming, R. W., & Maiello, G. (2025).
Does precision grip research extend to unconstrained, multidigit grasping?.
Journal of Neurophysiology, 133(6), 1836-1843.

Liao, C., Cheeseman, J., Schmidt, F., Fleming, R. W., & Xiao, B. (2025).
Visual Adaptation of Complex Material Appearances.
Journal of Vision, 25(9), 2223-2223.

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

Linka, M., Sensoy, Ö., Karimpur, H., Schwarzer, G., de Haas, B. (2023).
Free viewing biases for complex scenes in preschoolers and adults.
Sci Rep, 13, 11803.

López, F. M., & Triesch, J. (2025).
Hierarchical Residuals Exploit Brain-Inspired Compositionality.
arXiv preprint arXiv:2502.16003.

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, 263, 119601.

Maier, P. M., Schommartz, I., Iggena, D., Finke, C., Ploner, C. J., & Shing, Y. L. (2024).
Development of spatial memory consolidation: A comparison between children and adults.
Developmental Psychology.

Malik, A., Yu, Y., Boyaci, H., & Doerschner, K. (2025).
Perceiving Material Qualities from Moving Contours.
bioRxiv, 2025-07.

Matsingos, A., Wilhelm, M., Noor, L., Yildiz, C., Rief, W., Hofmann, S. G., ... & Kircher, T. (2024).
Hype or hope? High placebo response in major depression treatment with ketamine and esketamine: a systematic review and meta-analysis.
Frontiers in psychiatry, 15, 1346697.

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.

Midlagajni, N., & Rothkopf, C. A. (2025).
Learning Particle Dynamics Subject to Rigid Body Manipulations Using Graph Neural Networks.
The Fourth Learning on Graphs Conference.

Morimoto, T., Akbarinia, A., Storrs, K. R., Cheeseman, J. R., Smithson, H. E., Gegenfurtner, K. R., & Fleming, R. W. (2025).
Human gloss perception reproduced by tiny neural networks.
bioRxiv preprint: 2025-05.

Ody, E., Kircher, T., He, Y., & Straube, B. (2025).
Differential Effects of Self‐Initiated, Externally Triggered, and Passive Movements on Action‐Outcome Processing: Insights From Sensory and Motor‐Preparatory Event Related Potentials.
European Journal of Neuroscience, 62(5), e70236.

Ody, E., Kircher, T., Straube, B., & He, Y. (2023).
Pre-movement event-related potentials and multivariate pattern of EEG encode action outcome prediction. Human Brain Mapping.

Ody, E., Kircher, T., Straube, B., & He, Y. (2024).
Voluntary action sharpens sensory prediction and facilitates neural processing of contingent sensory stimuli.
bioRxiv preprint: 2024-12.

Ody, E., Straube, B., He, Y., Kircher, T. (2023).
Perception of self-generated and externally-generated visual stimuli: Evidence from EEG and behavior.
Psychophysiology, e14295.

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.

Ovsepian, R., Souto, D., & Schütz, A. C. (2025).
Robust generalization of tuning to self-induced sensation.
iScience, 28(6).

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.

Pabst, K., Gkanias, E., Webb, B., Homberg, U., & Endres, D. (2024).
A computational model for angular velocity integration in a locust heading circuit.
PLOS Computational Biology, 20(12), e1012155.

Pfanschilling, V., Shindo, H., Dhami, D. S., & Kersting, K. (2025) (2025).
NeST: The neuro-symbolic transpiler.
International Journal of Approximate Reasoning, 179, 109369.

Poonia, H., Willig, M., Yu, Z., Zečević, M., Kersting, K., & Dhami, D. S. (2024).
$\chi $ SPN: Characteristic Interventional Sum-Product Networks for Causal Inference in Hybrid Domains.
arXiv preprint arXiv: 2408.07545.

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.

Preißler, L., Keck, J., Krüger, B., Munzert, J., & Schwarzer, G. (2023).
Recognition of emotional body language from dyadic and monadic point-light displays in 5-year-old children and adults.
Journal of Experimental Child Psychology, 235, 105713.

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

Rashid, H. A., Kircher, T., & Straube, B. (2025).
Temporal characteristics of hemodynamic responses during active and passive hand movements in schizophrenia spectrum disorder.
Schizophrenia, 11(1), 109.

Rashid, H. A., Kircher, T., & Straube, B. (2025).
Aberrant preparation of hand movement in schizophrenia spectrum disorder: An fMRI study.
Brain Communications, 7(2), fcaf148.

Reisenegger, R., Bansal, A., Harris, L. R., & Bremmer, F. (2025).
Conflicting heading biases explained by different reference frames.
Journal of Vision, 25(9), 2595-2595.

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.

Rodríguez, R. G., Hedjar, L., Toscani, M., Guarnera, D. Y., Guarnera, G. C., & Gegenfurtner, K. R. (2024).
Color constancy mechanisms in virtual reality environments.
Journal of Vision, 24(5) ,6-6.

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., Ezgi Atikan, B., Straube, B., Bremmer, F. (2023).
Neural correlates of visual and tactile path integration and their task related modulation.
Scientific Reports, 13 (1), 9913.

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

Rothkopf, C. A., & Hayhoe, M. M. (2025).
Computational elements of natural vision.
Journal of Vision, 25(12), 4-4.

Rothkopf, C., Bremmer, F., Fiehler, K., Dobs, K., & Triesch, J. (2023).
Models of vision need some action.
Behavioral Brain Science, 46:e405.

Schmidt, F., Emily, A., Tiedemann, H., Houborg, C., & Fleming, R. W. (2025).
Identifying features for superordinate object classification through creative drawings.
Journal of Vision, 25(9), 2361-2361.

Schmidt, F., Hebart, M. N., Schmid, A. C., & Fleming, R. W. (2025).
Core dimensions of human material perception.
Proceedings of the National Academy of Sciences, 122(10), e2417202122.

Schmidt, F., Tiedemann, H., Fleming, R. W., & Morgenstern, Y. (2023).
Inferring shape transformations in a drawing task.
Memory & Cognition.

Schmitt, C., Krala, M., & Bremmer, F. (2022).
Neural signatures of actively controlled self-motion and the subjective encoding of distance.
Eneuro, 9(6).

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.

Schmitter, C. V., Pazen, M., Uhlmann, L., van Kemenade, B. M., Kircher, T., & Straube, B. (2024).
Predictive neural processing of self-generated hand and tool actions in patients with schizophrenia spectrum disorders and healthy individuals.
OSFPreprints

Schmitter, C.V., Kufer, K., Steinsträter, O., Sommer, J., Kircher, T., Straube, B. (2023).
Neural correlates of temporal recalibration to delayed auditory feedback of active and passive movements.
Human Brain Mapping.

Schommartz, I., Kaindl, A. M., Buss, C., & Shing, Y. L. (2024).
Short- and long-delay consolidation of memory accessibility and precision across childhood and young adulthood.
Developmental psychology.

Schommartz, I., Lembcke, P. F., Ortiz-Tudela, J., Bauer, M., Kaindl, A. M., Buss, C., & Shing, Y. L. (2023).
Neural correlates and reinstatement of recent and remote memory: A comparison between children and young adults.
bioRxiv

Schommartz, I., Lembcke, P. F., Pupillo, F., Schuetz, H., de Chamorro, N. W., Bauer, M., ... & 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.

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., Brack, M., Deiseroth, B., & Kersting, K. (2023).
Safe latent diffusion: Mitigating inappropriate degeneration in diffusion models. In
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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.

Schroeger, A., Goettker, A., Braun, D. I., & Gegenfurtner, K. R. (2024).
Keeping your eye, head, and hand on the ball: Rapidly orchestrated visuomotor behavior in a continuous action task.
bioRxiv preprint 2024-12.

Schuetz, I., Trawnitschek, L., & Fiehler, K. (2024).
Object center of mass predicts endpoints for free-hand pointing in virtual reality.
Journal of Vision, 24(10), 615-615.

Schuhmann, C., Kaczmarczyk, R., Rabby, G., Friedrich, F., Kraus, M., Kalyan, K., Kersting, K., & Auer, S. (2025).
EmoNet-Face: An expert-annotated benchmark for synthetic emotion recognition.
arXiv preprint arXiv: 2505.20033.

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.

Schütz, A. C., & Gegenfurtner, K. R. (2025).
Within-subject confidence intervals for pairwise differences in scatter plots.
Psychonomic Bulletin & Review, 1-14.

Schütz, A. C., & Stewart, E. E. (2025).
A review of the costs of eye movements.
Nature Reviews Psychology, 1-14.

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.

Shindo, H., Brack, M., Sudhakaran, G., Dhami, D. S., Schramowski, P., & Kersting, K. (2024).
Deisam: Segment anything with deictic prompting.
Advances in Neural Information Processing Systems, 37, 52266-52295.

Shindo, H., Pfanschilling, V., Dhami, D. S., & Kersting, K. (2023).
α ILP: thinking visual scenes as differentiable logic programs.
Machine Learning, 112(5), 1465-1497.

Shindo, H., Pfanschilling, V., Dhami, D. S., & Kersting, K. (2024).
Learning differentiable logic programs for abstract visual reasoning.
Machine Learning, 113(11), 8533-8584.

Skryagin, A., Ochs, D., Dhami, D. S., & Kersting, K. (2023).
Scalable Neural-Probabilistic Answer Set Programming.
Journal of Artificial Intelligence Research (JAIR) 78:579–617.

Spartakov, R., Kshirsagar, A., Mühl, D., Schween, R., Endres, D. M., Bremmer, F., ... & Peters, J. (2024).
Balancing on the Edge: Review and Computational Framework on the Dynamics of Fear of Falling and Fear of Heights in Postural Control.
Proceedings of the Annual Meeting of the Cognitive Science Society (46).

Stammer, W., Friedrich, F., Steinmann, D., Brack, M., Shindo, H., & Kersting, K. (2024).
Learning by self-explaining.
arXiv preprint arXiv:2309.08395.

Stammer, W., Wüst, A., Steinmann, D., & Kersting, K. (2024).
Neural concept binder.
Advances in Neural Information Processing Systems (37), 71792-71830.

Steinmann, D., Divo, F., Kraus, M., Wüst, A., Struppek, L., Friedrich, F., & Kersting, K. (2024).
Navigating shortcuts, spurious correlations, and confounders: From origins via detection to mitigation.
arXiv preprint arXiv:2412.05152.

Steinmann, D., Stammer, W., Friedrich, F., & Kersting, K. (2024).
Learning to intervene on concept bottlenecks.
arXiv preprint arXiv:2308.13453.

Steinmann, D., Stammer, W., Wüst, A., & Kersting, K. (2025).
Object Centric Concept Bottlenecks.
arXiv preprint: 2505.24492.

Stewart, E. E., Fleming, R. W., & Schütz, A. C. (2024).
A simple optical flow model explains why certain object viewpoints are special.
bioRxiv,2023-10.

Stewart, E. M. M., & Fleming, R. W. (2023).
The eyes anticipate where an object will move based on its shape.
Current Biology, 33(17), R894-R895.

Stewart, E. M., & Fleming R. W. (2023).
The eyes anticipate where an object will move based on its shape.
Current Biology, 33(17), R894-R895.

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.

Straub, D., & Rothkopf, C. A (2022).
Putting perception into action with inverse optimal control for continuous psychophysics.
Elife 11,e76635.

Straub, D., Niehues, T. F., Peters, J., & Rothkopf, C. A. (2024).
Inverse decision-making using neural amortized Bayesian actors.
arXiv preprint arXiv: 2409.03710.

Straub, D., Schultheis, M., Koeppl, H., & Rothkopf, C. A. (2024).
Probabilistic inverse optimal control for non-linear partially observable systems disentangles perceptual uncertainty and behavioral costs.
Advances in Neural Information Processing Systems, 36.

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.

Sun, H. C., & Fleming, R. (2025).
Material image morph and binocular integration.
Journal of Vision, 25(9), 1866-1866.

Sun, H. C., Schmidt, F., Schmid, A. C., Hebart, M. N., & Fleming, R. W. (2024).
Cortical representations of core visual material dimensions.
Journal of Vision, 24(10), 285-285.

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.

Tatai, F., rŸm, D., Eckstein, M. K., & Rothkopf, C. (2025).
Physical reasoning during motor learning aids people in transferring mass, but not motor control mappings.
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Tatai, F., Straub, D., & Rothkopf, C. (2023).
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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).

Thomas, T., Straub, D., Tatai, F., Shene, M., Tosik, T., Kersting, K., & Rothkopf, C. A. (2024).
Modelling dataset bias in machine-learned theories of economic decision-making.
Nature Human Behaviour, 1-13.

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.

Turan, G., Spiertz, V., Bein, O., Shing, Y. L., & Nolden, S. (2025).
Unexpected Twists: Electrophysiological Correlates of Encoding and Retrieval of Events Eliciting Prediction Error.
Psychophysiology, 62(1), e14752.

van Dyck, L. E., Bremmer, F., & Dobs, K. (2024).
Artificial intelligence meets body sense: task-driven neural networks reveal computational principles of the proprioceptive pathway.
Signal Transduction and Targeted Therapy, 9(1), 171.

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).

Wagner, I., & Schütz, A. C. (2023).
Interaction of dynamic error signals in saccade adaptation.
Journal of Neurophysiology, 129, 717-723.

Wagner, I., Tünnermann, J., Schubö, A., & Schütz, A. C. (2025).
Trade-off between search costs and accuracy in oculomotor and manual search tasks.
Journal of Neurophysiology, 133(5), 1350-1367.

Woydt, T., Willig, M., Wüst, A., Helff, L., Stammer, W., Rothkopf, C. A., & Kersting, K. (2025).
Fodor and Pylyshyn's Legacy-Still No Human-like Systematic Compositionality in Neural Networks.
arXiv preprint arXiv:2506.01820

Wroblewski, A., Hollandt, M., Yang, Y., Ridderbusch, I. C., Pietzner, A., Szeska, C., ... & Richter, J. (2022).
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.

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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

Wüst, A., Woydt, T., Helff, L., Ibs, I., Stammer, W., Dhami, D. S., ... & Kersting, K. (2024).
Bongard in Wonderland: Visual Puzzles that Still Make AI Go Mad?.
arXiv preprint arXiv: 2410.19546.

Ye, Z., Arenz, O., & Kersting, K. (2025).
Learning from Less: Guiding Deep Reinforcement Learning with Differentiable Symbolic Planning.
arXiv preprint arXiv: 2505.11661.

Yu, Z., Dhami, D. S., & Kersting, K. (2021).
Sum-Product-Attention Networks: Leveraging Self-Attention in Probabilistic Circuits.
arXiv preprint

Yu, Z., Trapp, M., & Kersting, K. (2024).
Characteristic Circuits.
Advances in Neural Information Processing Systems, 36.

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).