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).

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.

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

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., 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.

Broda, M.D., de Haas, B. (2022).
Reading the Mind in the Nose.
PsyArXiv Preprints

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.

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

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.

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

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

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

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., 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.

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.

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.

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

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., 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.

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.

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.

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.

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.

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.

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.

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.

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