Research

Data Hub

We have established the TAM Data Hub for storing, mining and publishing data to make them findable, accessible, interoperable and reusable (FAIR). The Data Hub is particularly useful for understanding natural behavior, working on longitudinal questions, and combining data from healthy individuals and patients with mental disorders. It is a fundamental scientific tool for resolving the complexities of the human mind addressed in the five Key Areas. For more details see Public Outreach - Infrastructure.

Brand, O., Endres, D., Pfarr, J. K., Berger, C., Lenze, S., Fiehler, K., & Fleming, R. W. (2023). The Adaptive Mind Data and Code Policy.

New project-related publications
Arikan, B. E., van Kemenade, B. M., Fiehler, K., Kircher, T., Drewing, K., & Straube, B. (2021).
Different contributions of efferent and reafferent feedback to sensorimotor temporal recalibration.
Scientific Reports, 11(1).
DOI
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.
DOI
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.
DOI
Broda, M. D., & de Haas, B. (2022).
Individual fixation tendencies in person viewing generalize from images to videos.
i-Perception, 13(6), 20416695221128844.
DOI
Broda, M. D., & de Haas, B. (2023).
Reading the mind in the nose.
i-Perception, 14(3), 1–4.
DOI
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.
DOI
Broda, M.D., de Haas, B. (2022).
Reading the Mind in the Nose.
PsyArXiv Preprints
Eckert, A. L., Pabst, K., & Endres, D. M. (2022).
A Bayesian model for chronic pain.
Frontiers in Pain Research, 152.
DOI
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 DOI DOI
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.
DOI DOI
Goktepe, N., & Schütz, A. C. (2023).
Familiar objects benefit more from transsaccadic feature predictions.
Attention, Perception, & Psychophysics, 1-13.
DOI
Goktepe, N., & Schütz, A. C. (2023).
Familiar objects benefit more from transsaccadic feature predictions.
Attention, Perception, & Psychophysics, 1-13.
DOI
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
Kollenda, D., de Haas, B. (2022).
The influence of familiarity on memory for faces and mask wearing.
Cognitive Research, 7(1).
DOI
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.
DOI
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.
DOI
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.
DOI
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.
DOI
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.
DOI
Men, H., Altin, A., & Schütz, A. C. (2023).
Underestimation of the number of hidden objects.
Journal of Vision, 23(2):1, 1–20.
DOI
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.
DOI DOI
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.
DOI
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.
DOI
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.
Rothkopf, C., Bremmer, F., Fiehler, K., Dobs, K., & Triesch, J. (2023).
Models of vision need some action.
Behavioral Brain Science, 46:e405.
DOI
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.
DOI
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.
DOI DOI DOI
Schultheis, M., Rothkopf. C. A., Koeppl, H. (2022).
Reinforcement learning with non-exponential discounting.
Neural Information Processing Systems.
DOI
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.
DOI
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.
DOI DOI
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.
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).
DOI
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.
DOI DOI DOI
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.
DOI
Wagner, I., & Schütz, A. C. (2023).
Interaction of dynamic error signals in saccade adaptation.
Journal of Neurophysiology, 129, 717-723.
DOI
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
Zečević, M., Dhami, D. S., Rothkopf, C. A., & Kersting, K. (2021).
Structural Causal Interpretation Theorem.
arXiv preprint