PsychAuthors

Literaturliste von Constantin Rothkopf

letzte Aktualisierung: 18.11.2024

Arató, J., Rothkopf, C. A. & Fiser, J. (2024). Eye movements reflect active statistical learning. Journal of Vision, 24(5), No. 17.

Hermann, A., Benke, C., Blecker, C. R., de Haas, B., He, Y., Hofmann, S. G., Iffland, J. R., Jengert-Stahl, J., Kircher, T., Leinweber, K., Linka, M., Mulert, C., Neudert, M. K., Noll, A.-K., Melzig, C. A., Rief, W., Rothkopf, C., Schäfer, A., Schmitter, C. V., Schuster, V., Stark, R., Straube, B., Zimmer, R. I. & Kirchner, L. (2024). Study protocol TransTAM: Transdiagnostic research into emotional disorders and cognitive-behavioral therapy of the adaptive mind. BMC Psychiatry, 24, No. 657.

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), No. 5677.

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, 8, 679-691.

Zhao, H., Straub, D. & Rothkopf, C. A. (2024). People learn a two-stage control for faster locomotor interception. Psychological Research, 88(1), 167-186.

Hartmann, F., Maiello, G., Rothkopf, C. A. & Fleming, R. W. (2023). Estimation of contact regions between hands and objects during human multi-digit grasping. JoVE - Journal of Visualized Experiments, No. e64877.

Trick, S., Rothkopf, C. A. & Jäkel, F. (2023). A normative model for Bayesian combination of subjective probability estimates. Judgment and Decision Making, 18, No. e40, 1-20.

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, 258-268.

Straub, D. & Rothkopf, C. A. (2022). Putting perception into action with inverse optimal control for continuous psychophysics. eLife, 11, No. e76635.

Trick, S., Herbert, F., Rothkopf, C. A. & Koert, D. (2022). Interactive reinforcement learning with bayesian fusion of multimodal advice. IEEE Robotics and Automation Letters, 7(3), 7558-7565.

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). Sometimes I feel the fear of uncertainty: How intolerance of uncertainty and trait anxiety impact fear acquisition, extinction and the return of fear. International Journal of Psychophysiology, 181, 125-140.

Neupärtl, N., Tatai, F. & Rothkopf, C. A. (2021). Naturalistic embodied interactions elicit intuitive physical behaviour in accordance with Newtonian physics. Cognitive Neuropsychology, 1-15.

Straub, D. & Rothkopf, C. A. (2021). Looking for image statistics: Active vision with avatars in a naturalistic virtual environment. Frontiers in Psychology, 12, No. 641471.

Zhao, H., Straub, D. & Rothkopf, C. A. (2021). How do people steer a car to intercept a moving target: Interceptions in different environments point to one strategy. Quarterly Journal of Experimental Psychology, 74(10), 1686-1696.

Neupärtl, N., Tatai, F. & Rothkopf, C. A. (2020). Intuitive physical reasoning about objects' masses transfers to a visuomotor decision task consistent with Newtonian physics. PLoS Computational Biology, 16(10), No. e1007730.

Hoppe, D. & Rothkopf, C. A. (2019). Multi-step planning of eye movements in visual search. Scientific Reports, 9, No. 144.

Zhao, H., Straub, D. & Rothkopf, C. A. (2019). The visual control of interceptive steering: How do people steer a car to intercept a moving target? Journal of Vision, 19(14), No. 11.

Hoppe, D., Helfmann, S. & Rothkopf, C. A. (2018). Humans quickly learn to blink strategically in response to environmental task demands. Proceedings of the National Academy of Sciences of the United States of America, 115(9), 2246-2251.

Melnik, A., Schüler, F., Rothkopf, C. A. & König, P. (2018). The world as an external memory: The price of saccades in a sensorimotor task. Frontiers in Behavioral Neuroscience, 12, No. 253.

Zhang, R., Zhang, S., Tong, M. H., Cui, Y., Rothkopf, C. A., Ballard, D. H. & Hayhoe, M. M. (2018). Modeling sensory-motor decisions in natural behavior. PLoS Computational Biology, 14(10), No. e1006518.

Hoppe, D. & Rothkopf, C. A. (2016). Learning rational temporal eye movement strategies. Proceedings of the National Academy of Sciences of the United States of America, 113(29), 8332-8337.

Ballard, D. H., Kit, D., Rothkopf, C. A. & Sullivan, B. (2013). A hierarchical modular architecture for embodied cognition. Multisensory Research, 26(1-2), 177-204.

Diaz, G. J., Cooper, J., Rothkopf, C. A. & Hayhoe, M.M. (2013). Saccades to future ball location reveal memory-based prediction in a virtual-reality interception task. Journal of Vision, 13(1):1), 1-14.

Lonini, L., Dimitrakakis, C., Rothkopf, C. A. & Triesch, J. (2013). Generalization and interference in human motor control. In G. Baldassarre & M. Mirolli (Eds.), Computational and Robotic Models of the Hierarchical Organization of Behavior (pp. 155-176). Springer.

Pamplona, D., Triesch, J. & Rothkopf, C. A. (2013). Power spectra of the natural input to the visual system. Vision Research, 83, 66-75.

Rothkopf, C. A. (2013). Kognitive Neurowissenschaft. In J. B. M. A. Stefan and S. Walter (Hrsg.), Handbuch Kognitionsswissenschaft (S. 78-84). Stuttgart; Weimar: Metzler.

Rothkopf, C. A. (2013). Motorik und Handlungssteuerung. In A. Stephan & S. Walter (Hrsg.), Handbuch Kognitionswissenschaften (S. 374-385). Stuttgart; Weimar: Metzler.

Rothkopf, C. A. & Ballard, D. H. (2013). Learning to coordinate repertoirs of behaviors: credit assignment and module activation. In G. B. a. M. Mirolli (Ed.), Computational and Robotic Models of the Hierarchical Organization of Behavior. Springer.

Rothkopf, C. A. & Ballard, D. H. (2013). Modular inverse reinforcement learning for visuomotor behavior. Biological Cybernetics, 107(4), 477-490.

Dimitrakakis, C. & Rothkopf, C. A. (2012). Bayesian multitask inverse reinforcement learning. In .

Sullivan, B. T., Johnson, L., Rothkopf, C. A., Ballard, D. & Hayhoe, M. (2012). The role of uncertainty and reward on eye movements in a virtual driving task. Journal of Vision, 12(13), No. 19.

Wang, Q., Bolhuis, J., Rothkopf, C. A., Kolling, T., Knopf, M. & Triesch, J. (2012). Infants in control: Rapid anticipation of action outcomes in a gaze-contingent paradigm. PLoS ONE, 7(2), No. e30884.

Zhao, Y., Rothkopf, C. A., Triesch. J. & Shi, B. (2012). A unified model of the joint development of disparity selectivity and vergence control.

Dimitrakakis, C. & Rothkopf, C. A. (2011). Bayesian multitask inverse reinforcement learning', European Workshop on Reinforcemnt Learning (EWRL), September 911.

Karaoguz, C., Weisswange, T. H., Rodemann, T., Wrede, B. & Rothkopf, C. A. (2011). Reward-based learning of optimal cue integration in audio and visual depth estimation. In 15th International Conference on Advanced Robotics (ICAR), June 20-23.

Rothkopf, C. A. & Dimitrakakis, C. (2011). Preference elicitation and inverse reinforcement learning. In 22nd European Conference on Machine Learning (ECML), September 5-9, 2011.

Toutounji, H., Rothkopf, C. A. & Triesch, J. (2011). Scalable reinforcement learning through hierarchical decompositions for weakly-coupled problems. In I. Fasel, K. Rohlfing, A. Cangelosi & J. Triesch (Eds.), IEEE 10th International Conference on Development and Learning (ICDL), August 24-27, Frankfurt am Main, Germany (pp. 1-7). Frankfurt am Main: IEEE.

Weisswange, T. H., Rothkopf, C. A. & Triesch, J. (2011). Bayesian cue integration as a developmental outcome of reward mediated learning. PLoS ONE, 6(7), e21575.

Hayhoe, M.M. & Rothkopf, C. A. (2010). Vision in the natural world. Wiley Interdisciplinary Reviews: Cognitive Science, 2(2), 158-166.

Rothkopf, C. A., Weisswange, T. H. & Triesch, J. (2010). Computational modeling of multisensory object perception. In M. J. Naumer & J. Kaiser (Eds.), Multisensory Object Perception in the Primate Brain. New York: Springer.

Rothkopf, C. A. & Ballard, D. H. (2010). Credit assignment in multiple goal embodied visuomotor behavior. Frontiers in Psychology (Online Journal), 1.

Triesch, J., Rothkopf, C. A. & Weisswange, T. H. (2010). Coordination in sensory integration. In M. P. C. von der Malsburg, W. A. Phillips, W. Singer (Ed.), Dynamic Coordination in the Brain: From Neurons to Mind, edited by.

Rothkopf, C. A. & Ballard, D. H. (2009). Image statistics at the point of gaze during human navigation. Visual Neuroscience, special issue on 'Natural. Systems Analysis', 26(8192).

Rothkopf, C. A., Weisswange, T. H. & Triesch, J. (2009). Learning independent causes in natural images explains the spacevariant oblique effect. In IEEE 8th International Conference on Development and Learning, June 5-7.

Weisswange, T. H., Rothkopf, C. A., Rodemann, T. & Triesch, J. (2009). Can reinforcement learning explain the development of causal inference in multisensory integration? In IEEE 8th International Conference on Development and Learning, June 5-7.

Pelz, J. B. & Rothkopf, C. A. (2007). Oculomotor behavior while navigating natural and man-made environments. In R. H. R. van Gompel, M. Fischer, W. Murray (Ed.), Eye movements: A window on mind and brain. Elsevier Press.

Rothkopf, C. A., Ballard, D. H. & Hayhoe, M.M. (2007). Task and context determine where you look. Journal of Vision, 7(14):16), 1-20.

Jehee, J. F. M., Rothkopf, C. A., Beck, J. M. & Ballard, D. H. (2006). Learning receptive fields using predictive feedback. Journal of Physiology Paris, 100, 125-132.

Rothkopf, C. A. & Pelz, J. B. (2004). Head movement estimation for wearable eye tracker. In . Texas, USA: ACM.

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