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Eight-Month-Old Infants Meta-Learn by Downweighting Irrelevant Evidence

Poli, F., Ghilardi, T., Mars, R. B., Hinne, M., & Hunnius, S. (2023) · Open Mind · doi:10.1162/opmi_a_00079 · Cited by 16 · see citing works

Alpha oscillations encode Bayesian belief updating underlying attentional allocation in dynamic environments

Li, S., Seger, C. A., Zhang, J., Liu, M., Dong, W., Liu, W., & Chen, Q. (2023) · NeuroImage · doi:10.1016/j.neuroimage.2023.120464 · Cited by 15 · see citing works

Large-scale brain networks underlying non-spatial attention updating: Towards understanding the function of the temporoparietal junction

Jurewicz, K., Paluch, K., Wolak, T. P., & Wróbel, A. (2020) · Cortex · doi:10.1016/j.cortex.2020.09.023 · Cited by 15 · see citing works

Comparative Analysis of Behavioral Models for Adaptive Learning in Changing Environments

Marković, D., & Kiebel, S. J. (2016) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2016.00033 · Cited by 14 · see citing works

Exploring how material cues drive sensorimotor prediction across different levels of autistic-like traits

Arthur, T., Vine, S., Brosnan, M., & Buckingham, G. (2019) · Experimental Brain Research · doi:10.1007/s00221-019-05586-z · Cited by 11 · see citing works

Sex differences in hemispheric lateralization of attentional networks

Li, Y., Wang, Y. Y., Xiao-hong, J., Niu, D., Zhang, L., Jiang, S. Y., Ruan, H. D., & Ho, G. W. (2020) · Psychological Research · doi:10.1007/s00426-020-01423-z · Cited by 9 · see citing works

A Computational Dual-Process Model of Fixation-Duration Control in Natural Scene Viewing

Walshe, R. C., & Nuthmann, A. (2021) · Computational Brain & Behavior · doi:10.1007/s42113-021-00111-4 · Cited by 10 · see citing works

Predictions as a window into learning: Anticipatory fixation offsets carry more information about environmental statistics than reactive stimulus-responses

Notaro, G., van Zoest, W., Altman, M., Melcher, D., & Hasson, U. (2019) · Journal of Vision · doi:10.1167/19.2.8 · Cited by 10 · see citing works

Mild Inflammation in Healthy Males Induces Fatigue Mediated by Changes in Effective Connectivity Within the Insula

Stefanov, K., McLean, J., McColl, A., Basu, N., Cavanagh, J., & Krishnadas, R. (2020) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2020.04.005 · Cited by 10 · see citing works

Ketamine Affects Prediction Errors about Statistical Regularities: A Computational Single-Trial Analysis of the Mismatch NegativityPreprint

Weber, L. A. E., Diaconescu, A. O., Mathys, C. D., Schmidt, A., Kometer, M., Vollenweider, F. X., & Stephan, K. E. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/528372 · Cited by 10 · see citing works

Cue-target contingencies modulate voluntary orienting of spatial attention: dissociable effects for speed and accuracy

Bonato, M., Lisi, M., Pegoraro, S., & Pourtois, G. (2016) · Psychological Research · doi:10.1007/s00426-016-0818-6 · Cited by 9 · see citing works

Integrating modality-specific expectancies for the deployment of spatial attention

Mengotti, P., Boers, F., Dombert, P. L., Fink, G. R., & Vossel, S. (2018) · Scientific Reports · doi:10.1038/s41598-018-19593-7 · Cited by 9 · see citing works

The impact of probabilistic feature cueing depends on the level of cue abstraction

Dombert, P. L., Fink, G. R., & Vossel, S. (2015) · Experimental Brain Research · doi:10.1007/s00221-015-4487-2 · Cited by 8 · see citing works

Is visual gaze in children with autism spectrum disorder related to sequence of emotion intensity presentation? An eye‐tracking study of natural emotion perception processes

Wang, D., Zhang, Y., Zhang, H., Kuo, F., Zhang, L., Yang, Y., Yan, Y., Ng, M. L., Wang, L., Yan, N., et al. (2023) · Autism Research · doi:10.1002/aur.2918 · Cited by 7 · see citing works

Resting-state Functional Connectivity of the Right Temporoparietal Junction Relates to Belief Updating and Reorienting during Spatial Attention

Käsbauer, A.-S., Mengotti, P., Fink, G. R., & Vossel, S. (2020) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01543 · Cited by 7 · see citing works

Sure enough: efficient Bayesian learning and choice

Foley, B. R., & Marjoram, P. (2017) · Animal Cognition · doi:10.1007/s10071-017-1107-5 · Cited by 7 · see citing works

A Hierarchical Bayesian Model for Inferring and Decision Making in Multi-Dimensional Volatile Binary Environments

Zhu, C., Zhou, K., Tang, F., Tang, Y., Xiaoli Li, A., & Si, B. (2022) · Mathematics · doi:10.3390/math10244775 · Cited by 6 · see citing works

Precision-dependent modulation of social attention

Gao, W., Zhu, C., Si, B., Zhou, L., & Zhou, K. (2025) · NeuroImage · doi:10.1016/j.neuroimage.2025.121166 · Cited by 6 · see citing works

Implementation of the diffusion model on dot-probe task performance in children with behavioral inhibition

Wise, S., Huang‐Pollock, C. L., & Pérez‐Edgar, K. E. (2021) · Psychological Research · doi:10.1007/s00426-021-01532-3 · Cited by 6 · see citing works

The influence of endogenous spatial cue validity on audiovisual integration

Tang, X., Wu, Y., Peng, X., Wang, A., & Li, Q. (2020) · Acta Psychologica Sinica · doi:10.3724/sp.j.1041.2020.00835 · Cited by 6 · see citing works

Alterations of sensorimotor predictive processes and their electrophysiological signatures in Tourette syndrome

Schüller, T., Mengotti, P., Zabicki, A., Huys, D., Barbe, M. T., Fink, G. R., Visser-Vandewalle, V. E. R. M., Vossel, S., & Baldermann, J. C. (2025) · Brain Communications · doi:10.1093/braincomms/fcaf458 · Cited by 5 · see citing works

Neural Encoding of the Reliability of Directional Information During the Preparation of Targeted Movements

Tzagarakis, C., West, S. L., & Pellizzer, G. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.679408 · Cited by 5 · see citing works

Attentional Effects on Phenomenological Appearance: How They Change with Task Instructions and Measurement Methods

Anderson, B. (2016) · PLoS ONE · doi:10.1371/journal.pone.0152353 · Cited by 5 · see citing works

Prior knowledge of spatiotemporal configuration facilitates crossmodal saccadic response

Diederich, A., Colonius, H., & Kandil, F. I. (2016) · Experimental Brain Research · doi:10.1007/s00221-016-4609-5 · Cited by 5 · see citing works

Cortical coupling reflects Bayesian belief updating in the deployment of spatial attention

Vossel, S., Mathys, C., Stephan, K. E., & Friston, K. J. (2015) · The Journal of Neuroscience · doi:10.1523/jneurosci.1382-15.2015 · Cited by 99 · see citing works

Spatial Attention, Motor Intention, and Bayesian Cue Predictability in the Human Brain

Kuhns, A. B., Dombert, P. L., Mengotti, P., Fink, G. R., & Vossel, S. (2017) · Journal of Neuroscience · doi:10.1523/jneurosci.3255-16.2017 · Cited by 34 · see citing works

Alpha oscillations encode Bayesian belief updating underlying attentional allocation in dynamic environments

Li, S., Seger, C. A., Zhang, J., Liu, M., Dong, W., Liu, W., & Chen, Q. (2023) · NeuroImage · doi:10.1016/j.neuroimage.2023.120464 · Cited by 15 · see citing works

Learning under uncertainty in the young and older human brain: Common and distinct mechanisms of different attentional and intentional systems

Kuhns, A. B. (2020) · Kölner Universitäts PublikationsServer (Universität zu Köln)

Hierarchical Bayesian control of attention during decision making

Domínguez-Zamora, F. J., Geng, J. J., Horga, G., & Gottlieb, J. P. (2022) · Journal of Vision · doi:10.1167/jov.22.14.3939