Research

Disorder

We suggest that several major mental disorders can be understood as maladaptation of mechanisms controlling stability and transition. Understanding the transitions between episodes and the processes that cause healthy or disordered states to persist is the key to explaining and diagnosing such disorders. Here, we use key mental disorders to investigate what happens when the mechanisms as analyzed in the other Key Areas fail.

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).

Arikan, B. E., Voudouris, D., Straube, B., & Fiehler, K. (2024).
Distinct role of central predictive mechanisms in tactile suppression
iScience, 27 (8), 110582.

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.

Augustat, N., Chuang, L. C., Panitz, C., Stolz, C., Mueller, E. M., & Endres, D. M. (2022).
Modeling Reward Learning Under Placebo Expectancies: A Q-Learning Approach.
In Proceedings of the Annual Meeting of the Cognitive Science Society.

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).

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.

Borovska, P., & de Haas, B. (2024).
Individual gaze shapes diverging representations in inferior temporal cortex.

Borovska, P., & de Haas, B. (2024).
Individual gaze shapes diverging neural representations.
Proceedings of the National Academy of Sciences, 121(36), e2405602121.

Borovska, P., de Haas, B. (2022).
Extrafoveal faces modulate the dynamics of scene viewing.
PsyArXiv Preprints

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.

Broda, M. D., & de Haas, B. (2022).
Individual differences in looking at persons in scenes.
Journal of Vision, 22(12), 9-9.

Broda, M. D., & de Haas, B. (2022).
Individual fixation tendencies in person viewing generalize from images to videos.
i-Perception, 13(6), 20416695221128844.

Broda, M. D., & de Haas, B. (2024).
Individual differences in human gaze behavior generalize from faces to objects.
roceedings of the National Academy of Sciences, 121(12), e2322149121.

Broda, M. D., Borovska, P., & de Haas, B. (2024).
Individual differences in face salience and rapid face saccades.

Broda, M. D., Borovska, P., & de Haas, B. (2024).
Individual differences in face salience and rapid face saccades.
Journal of Vision, 24(6), 16-16.

Broda, M. D., Borovska, P., Kollenda, D., Linka, M., de Haas, N., de Haas, S., & de Haas, B. (2024).
Estimating the memory bottleneck for contact tracing.

Broda, M. D., Borovska, P., Kollenda, D., Linka, M., de Haas, N., de Haas, S., & de Haas, B. (2024).
Estimating the human bottleneck for contact tracing.
PNAS nexus, 3(7).

Broda, M. D., Haddad, T., & de Haas, B. (2023).
Quick, eyes! Isolated upper face regions but not artificial features elicit rapid saccades.
Journal of Vision, 23(2), 5-5.

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.

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.

Cuevas, P., He, Y., Steines, M., & Straube, B.Cuevas, P., He, Y., Steines, M., & Straube, B. (2022).
Processing of Semantic Complexity and Cospeech Gestures in Schizophrenia: A Naturalistic, Multimodal fMRI Study.
Schizophrenia Bulletin Open, 3(1), sgac026.

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.

Eckert, A. L., Fuehrer, E., Schmitter, C., Straube, B., Fiehler, K., & Endres, D. (2025).
Modelling sensory attenuation as Bayesian causal inference across two datasets.
PloS one, 20(1), e0317924.

Eckert, A. L., Pabst, K., & Endres, D. M. (2022).
A Bayesian model for chronic pain.
Frontiers in Pain Research, 152.

Eckert, A. L., Pawlowski, J., Rief, W., Endres, D., & Kirchner, L. (2023).
Simulating Active Inference of Interpersonal Context Within and Across Mental Disorders.
PsyArXiv Preprints

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

Eckert, A., Fuehrer, E., Schmitter, C., Straube, B., Fiehler, K., & Endres, D. (2024).
Modelling Sensory Attenuation as Bayesian Causal Inference across two Datasets.

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.

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.

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.

Grössle, I. M., Schubö, A., & Tünnermann, J. (2023).
Testing a relational account of search templates in visual foraging.
Scientific Reports, 13(1) ,12541

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.

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.

Hermann, A., Benke, C., Blecker, C. R., de Haas, B., He, Y., Hofmann, S. G., ... & Kirchner, L. (2024).
Study protocol TransTAM: Transdiagnostic research into emotional disorders and cognitive-behavioral therapy of the adaptive mind.
BMC psychiatry, 24(1), 657.

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.

Huang, J., Feng, R., Straube, B., He, Q., Zhang, S., & He, Y. (2025).
Transcranial direct current stimulation alleviates the negative impact of immediate and chronic social exclusion on intertemporal decision-making.
Social Cognitive and Affective Neuroscience, 20(1), nsaf065.

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).

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.

Kirchner, L., Eckert, A. L., Berg, M., Endres, D., Straube, B., & Rief, W. (2024).
An active inference approach to interpersonal differences in depression.
New Ideas in Psychology, 74, 101092.

Kirchner, L., Eckert, A., Berg, M., Endres, D., Straube, B., & Rief, W. (2022).
Better safe than sorry? - An active inference approach to biased inference on social contexts in depression.
PsyArXiv Preprints

Kirchner, L., Kloft, M., Arias Martín, B., Berg, M., Anjedanimoghadamaraghi, P., Schäfer, L., & Rief, W. (2023).
Measuring dysfunctional interpersonal beliefs: validation of the Interpersonal Cognitive Distortions Scale among a heterogeneous German-speaking sample.
BMC psychiatry, 23(1), 702.

Kirchner, L., Kloft, M., Berg, M., & Rief, W. (2022).
Measuring Dysfunctional Interpersonal Beliefs: Validation of the Interpersonal Cognitive Distortions Scale among a German-speaking Sample.
PsyArXiv Preprints

Kirchner, L., Kube, T., Berg, M., Eckert, A. L., Straube, B., Endres, D., & Rief, W. (2024).
Social expectations in depression.
Nature Reviews Psychology, 1-15.

Kirchner, L., Kube, T., D'Astolfo, L., Strahler, J., Herbstreit, R., & Rief, W. (2023).
How to modify expectations of social rejection? An experimental study using a false-feedback paradigm.
Journal of Behavior Therapy and Experimental Psychiatry, 81, 101859.

Kirchner, L., Rief, W., Müller, L., Buchwald, H., Fuhrmann, K., & Berg, M. (2023).
Processing Unexpected Social Feedback in Depression: Differences in Feedback Acceptance and Immunizing Cognition.
PsyArXiv Preprints

Kirchner, L., Rief, W., Müller, L., Buchwald, H., Fuhrmann, K., & Berg, M. (2024).
Depressive symptoms and the processing of unexpected social feedback: Differences in surprise levels, feedback acceptance, and “immunizing” cognition.
Plos one, 19(8), e0307035.

Kollenda, D., de Haas, B. (2022).
The influence of familiarity on memory for faces and mask wearing.
Cognitive Research, 7(1).

Kollenda, D., Reher, A. S. V., & de Haas, B. (2024).
Individual gaze predicts individual scene descriptions.

Kollenda, D., Reher, A. S., & de Haas, B. (2025).
Individual gaze predicts individual scene descriptions.
Scientific Reports, 15(1), 9443.

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

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.

Kuhn, D. A., Tünnermann, J., & Schubö, A. (2025).
Picking the right piece: Action intentions shape visual search and action planning in human multi-target-foraging.
iScience, 28(6).

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.

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., Broda, M. D., Alsheimer, T. A., de Haas, B., & Ramon, M. (2022).
Characteristic fixation biases in Super-Recognizers.
Journal of Vision, in press.

Linka, M., Karimpur, H., & de Haas, B. (2024).
Protracted development of gaze behaviour.

Linka, M., Karimpur, H., & de Haas, B. (2025).
Protracted development of gaze behaviour.
Nature Human Behaviour (2025), 1-11.

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.

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.

Meibodi, N., Abbasi, H., Schubö, A., & Endres, D. (2024).
Distracted by Previous Experience: Integrating Selection History, Current Task Demands and Saliency in an Algorithmic Model.
Computational Brain & Behavior, 1-18.

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.

Meibodi, N., Schubö, A., & Endres, D. (2022).
Sensorimotor processes are not a source of much noise: sensorimotor and decision components of reaction times.
In Proceedings of the Annual Meeting of the Cognitive Science Society.

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.

Neudert, M. K., Schäfer, A., Zehtner, R. I., Fricke, S., Seinsche, R. J., Kruse, O., Stark, R., Walter, B. & Hermann, A. (2023).
Behavioral pattern separation is associated with neural and electrodermal correlates of context-dependent fear conditioning.
Scientific Reports, 13(1), 5577.

Neudert, M. K., Schäfer, A., Zehtner, R. I., Fricke, S., Seinsche, R. J., Stark, R., & Hermann, A. (2023).
Decontextualized fear memories? Stronger conditioned fear responses during extinction learning and extinction recall in a safe context predict the development of long-term analog intrusions.
Psychological Medicine, 1-10.

Niehaus, H.,Stroth, S., Kamp-Becker, I., Endres, D. (2022).
Modeling aberrant volatility estimates in Autism Spectrum Disorder.
In Proceedings of the Annual Meeting of the Cognitive Science Society.

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.

Osorio, S., Straube, B., Meyer, L., & He, Y. (2022).
Co-speech gestures enhance lexical-semantic prediction: Naturalistic evidence from time-resolved regression ERPs.
PsyArXiv Preprints

Osorio, S., Straube, B., Meyer, L., & He, Y. (2023).
The role of co-speech gestures in retrieval and prediction during naturalistic multimodal narrative processing.
Language, Cognition and Neuroscience, 1-16.

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.

Pabst, K., Zittrell, F., Homberg, U., Endres, D. (2022).
A Model for Optic Flow Integration in Locust Central-Complex Neurons Tuned to Head Direction.
In Proceedings of the Annual Meeting of the Cognitive Science Society.

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.

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.

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.

Riedl, L., Nagels, A., Sammer, G., Choudhury, M., Nonnenmann, A., ... & Straube, B. (2022).
Changes in Neural Processing After Multimodal Speech-Gesture Training in Patients With Schizophrenia.
OHBM conference. 237, 118157.

Riedl, L., Nagels, A., Sammer, G., Choudhury, M., Nonnenmann, A., Sütterlin, A., Feise, C., Haslach, M., Bitsch, F., Kühne, H., Hartmann, T.H., Shvetsova, N. & Straube, B. (2022).
Multimodal speech-gesture training in patients with schizophrenia spectrum disorder: Effects on quality of life and neural processing.
Schizophrenia Research, 246, 112-125.

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.

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.

Schmitter, C. V., & Straube, B. (2023).
Facilitation of sensorimotor temporal recalibration mechanisms by cerebellar tDCS in patients with schizophrenia spectrum disorder and healthy subjects.
bioRxiv, 2023-09.

Schmitter, C. V., & Straube, B. (2024).
Facilitation of sensorimotor temporal recalibration mechanisms by cerebellar tDCS in patients with schizophrenia spectrum disorders and healthy individuals.
Scientific Reports, 14(1), 2627.

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. & Straube, B. (2022).
The impact of cerebellar transcranial direct current stimulation (tDCS) on sensorimotor and inter-sensory temporal recalibration.
Frontiers in Human Neuroscience, 16:998843.

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.

Schramowski, P., Brack, M., Deiseroth, B., & Kersting, K. (2023).
Safe latent diffusion: Mitigating inappropriate degeneration in diffusion models. In
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition(pp. 22522-22531).

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.

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.

Schülke, R., Schmitter, C., Straube, B. (2023).
Improving Causality Perception Judgments in Schizophrenia Spectrum Disorder via Transcranial Direct Current Stimulation.
Journal of Psychiatry & Neuroscience, 48(4), 245–254.

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.

Seinsche, R. J., Fricke, S., Neudert, M. K., Zimmer, R. I., Stark, R., & Hermann, A. (2024).
Emotional Changes during Imagery Rescripting of Aversive Social Memories in Social Anxiety Disorder: A Randomized Controlled Trial.
Psychotherapy and Psychosomatics, 1-7.

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.

Streiling, K., Schulke, R., van Dam, L. C., & Straube, B. (2024).
Choice-and trial-history effects on causality perception in Schizophrenia Spectrum Disorder.

Stroth, S., Niehaus, H., Wolff, N., Poustka, L., Roessner, V., Kamp‐Becker, I., & Endres, D. (2022).
Subdimensions of social‐communication behavior in autism—A replication study.
JCPP Advances, e12077.

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.
Proceedings of the Annual Meeting of the Cognitive Science Society (47).

Tatai, F., Straub, D., & Rothkopf, C. (2023).
People use Newtonian physics in intuitive sensorimotor decisions under risk. In
Proceedings of the Annual Meeting of the Cognitive Science Society (Vol. 45, No. 45).

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.

Tünnermann, J., & Schubö, A. (2025).
Attention directs actions in visual foraging.
Scientific Reports, 15(1), 15788.

van Dam, L. C., Kernig, S., Lazarova, K., Ünal, M., Gappa, N., Straube, B., & Wallis, T. S. (2025).
Delay adaptation does not transfer between discrete button press actions and continuous control.
i-Perception, 16(4), 20416695251352067.

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., 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.

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

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).