Research

Context

Determining whether two stimuli should evoke the same (stable) response or lead to a transition requires inferring how stimulus properties generalize relative to the context. Here, we focus on how the context in which an item is embedded helps or hinders its processing. Successful context processing makes us skilled in scene and object perception, while overgeneralization leads to disorders like phobias.

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.

Aubret, A., Ernst, M.R., Teulière, C., & Triesch, J. (2023).
Time to Augment Contrastive Learning.
IEEE Int. Conf. on Learning Representations (ICLR).

Aubret, A., Teulière, C., & Triesch, J. (2022).
Toddler-inspired embodied vision for learning object representations.
IEEE Int. Conf. on Development and Learning (ICDL).

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).

Baltaretu, B. R., Schuetz, I., Võ, M. L. H., & Fiehler, K. (2024).
Scene semantics affects allocentric spatial coding for action in naturalistic (virtual) environments.
Scientific Reports, 14(1), 15549.

Beitner, J., Helbing, J., David, E. J., & Võ, M. L. H. (2024).
Using a flashlight-contingent window paradigm to investigate visual search and object memory in virtual reality and on computer screens.
Scientific Reports, 14(1), 8596.

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.

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., 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.

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

David, E., Gutiérrez, J., Võ, M. L. H., Coutrot, A., Da Silva, M. P., & Le Callet, P. (2024).
The Salient360! toolbox: Handling gaze data in 3D made easy.
Computers & Graphics, 103890.

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.

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.

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.

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

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., 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).

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.

Gregorova, K., Turini, J., Gagl, B., & Vo, M. L. H. (2021).
Access to meaning from visual input: Object and word frequency effects in categorization behavior.
PsyArXiv Preprints

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

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

Helbing, J., Draschkow*, D., & Võ*, M. L.-H. (2022).
Auxiliary scene-context information provided by anchor objects guides attention and locomotion in natural search behavior.
Psychological science, 33(9), 1463–1476.

Hermann, A., Benke, C., Blecker, C., de Haas, B., He, Y., Hofmann, S., Iffland, J., Jengert-Stahl, J., Kircher, T., Leinweber, k., Linka, M., Mulert, C., Neudert, M.K., Noll, A.K, Melzig, C., Rief, W., Rothkopf, C., Schäfer, A., Schmitter, C., Schuster, V., Stark, R., Straube, B., Zimmer, R. & Kirchner, L. (2024).
Study Protocol TransTAM: Transdiagnostic Research into Emotional Disorders and Cognitive-Behavioral Therapy of the Adaptive Mind.
OSF preprint

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

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.

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

Kallmayer, A., Võ, M. L. H., & Draschkow, D. (2023).
R Viewpoint dependence and scene context effects generalize to depth rotated three-dimensional objects.
Journal of Vision, 23 (10), 9.

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., 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

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.

Krugliak, A., Draschkow, D., Võ, M. L. H., & Clarke, A. (2023).
Semantic object processing is modulated by prior scene context.
Language, Cognition and Neuroscience,1-10.

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., 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., Shi, B. E., & Triesch, J. (2023).
Eye-Hand Coordination Develops from Active Multimodal Compression.
2023 IEEE International Conference on Development and Learning (ICDL) ,437-442.

Mattern, D., López, F.M., Ernst, M.R., Aubret, A., & Triesch, J. (2022).
MIMo: A Multi-Modal Infant Model for Studying Cognitive Development in Humans and AIs.
IEEE Int. Conf. on Development and Learning (ICDL), accepted.

Mattern, D., Schumacher, P., López, F. M., Raabe, M. C., Ernst, M. R., Aubret, A., & Triesch, J. (2024).
MIMo: A Multi-Modal Infant Model for Studying Cognitive Development.
IEEE Transactions on Cognitive and Developmental Systems.

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.

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.

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

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.

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.

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.

Raabe, M. C., López, F. M., Yu, Z., Caplan, S., Yu, C., Shi, B. E., & Triesch, J. (2023).
Saccade Amplitude Statistics are Explained by Cortical Magnification.
2023 IEEE International Conference on Development and Learning (ICDL) ,300-305.

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.

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

Schaumlöffel, T., Aubret, A., Roig, G., & Triesch, J. (2023).
Caregiver Talk Shapes Toddler Vision: A Computational Study of Dyadic Play.
2023 IEEE International Conference on Development and Learning (ICDL) ,67-72.

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

Schneider, F., Xu, X., Ernst, M. R., Yu, Z., & Triesch, J. (2021).
Contrastive Learning Through Time.
In SVRHM 2021 Workshop@ NeurIPS.

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
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.

Seinschea, R. J., Frickea, S., Neuderta, M. K., Zimmerb, R. I., Starka, R., & Hermanna, 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., Pfanschilling, V., Dhami, D. S., & Kersting, K. (2023).
α ILP: thinking visual scenes as differentiable logic programs.
Machine Learning, 112(5), 1465-1497.

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.

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.

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).

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.

Turini, J., & Võ, M. L. H. (2022).
Hierarchical organization of objects in scenes is reflected in mental representations of objects.
Scientific Reports, 12(1), 20068.

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.

Wiesmann, S. L., & Võ, M. L. H. (2022).
What makes a scene? Fast scene categorization as a function of global scene information at different resolutions.
Journal of Experimental Psychology: Human Perception and Performance, 48(8), 871.

Wiesmann, S. L., & Võ, M. L.-H. (2023).
Disentangling diagnostic object properties for human scene categorization.
Sci Rep 13, 5912.

Xu, X., & Triesch, J. (2023).
CIPER: Combining Invariant and Equivariant Representations Using Contrastive and Predictive Learning.
arXiv preprint

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).