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- INI
- Research Groups
- Autonomous Robotics
Autonomous Robotics
Our research in autonomous robotics is aimed at demonstrating that neural dynamic architectures of embodied cognition can generate object-oriented actions and simple forms of cognition. We organize the work around a scenario in which a partially autonomous robot system interacts with human operators with whom they share a natural environment. The robot system must acquire scene understanding to interpret user commands and autonomously perform actions such as orienting toward objects, retrieving them, possibly manipulating them and handing them over to the human operator. Based on analogies with how nervous systems generate motor behavior and simple forms of cognition, we use attractor dynamics and their instabilities at three levels to generate movement trajectories, to generate goal-directed sequences of behaviors, and to derive task-relevant perceptual representations that support goal-directed behavior.
Interested in autonomous robotics?
Additional material, exercises, and software related to our research topics can be found on the external website related to our theoretical framework Dynamic Field Theory.
If you are a RUB student interested in our work, have a look at the lecture Autonomous Robotics: Action, Perception, and Cognition, or our lab course in autonomous robotics, found under "Teaching" on the left.
We also offer group study projects, as well as Bachelor, Master, and Diploma projects for students of various fields. Check the offered projects under "Teaching" or just contact our group leader with your needs and we will talk about possible projects.
If you would like to visit the lab, meet some of the people, and have a look at our robots, just send an email to our group leader.
For external students and researchers, we offer a yearly summer school on our methods, see the Dynamic Field Theory web pages for more information.
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Neural Dynamic Principles for an Intentional Embodied AgentTekülve, J., & Schöner, G.Cognitive Science, 48(9)
@article{TekülveSchöner2024, author = {Tekülve, Jan and Schöner, Gregor}, title = {Neural Dynamic Principles for an Intentional Embodied Agent}, journal = {Cognitive Science}, volume = {48}, number = {9}, month = {September}, year = {2024}, doi = {10.1111/cogs.13491}, }
Tekülve, J., & Schöner, G.. (2024). Neural Dynamic Principles for an Intentional Embodied Agent. Cognitive Science, 48(9). http://doi.org/10.1111/cogs.13491Inverting a model of neuromuscular control to estimate descending activation patterns that generate fast-reaching movementsHummert, C., Zhang, L., & Schöner, G.Journal of Neurophysiology, 131(6), 1271–1285@article{HummertZhangSchöner2024, author = {Hummert, Cora and Zhang, Lei and Schöner, Gregor}, title = {Inverting a model of neuromuscular control to estimate descending activation patterns that generate fast-reaching movements}, journal = {Journal of Neurophysiology}, volume = {131}, number = {6}, pages = {1271–1285}, month = {June}, year = {2024}, doi = {10.1152/jn.00179.2023}, }
Hummert, C., Zhang, L., & Schöner, G.. (2024). Inverting a model of neuromuscular control to estimate descending activation patterns that generate fast-reaching movements. Journal of Neurophysiology, 131(6), 1271–1285. http://doi.org/10.1152/jn.00179.2023ROBOVERINE: A human-inspired neural robotic process model of active visual search and scene grammar in naturalistic environmentsGrieben, R., Sehring, S., Tekülve, J., Spencer, J. P., & Schöner, G.In 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) IEEE@inproceedings{GriebenSehringTekülveEtAl2024, author = {Grieben, Raul and Sehring, Stephan and Tekülve, Jan and Spencer, John P. and Schöner, Gregor}, title = {ROBOVERINE: A human-inspired neural robotic process model of active visual search and scene grammar in naturalistic environments}, booktitle = {2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)}, organization = {IEEE}, year = {2024}, }
Grieben, R., Sehring, S., Tekülve, J., Spencer, J. P., & Schöner, G.. (2024). ROBOVERINE: A human-inspired neural robotic process model of active visual search and scene grammar in naturalistic environments. In 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE.Visual selective attention: Priority is all you needGrieben, R., Spencer, J. P., & Schöner, G.In L. K. Samuelson, Frank, S. L., Toneva, M., Mackey, A., & Hazeltine, E. (Eds.), Proceedings of the 46th Annual Conference of the Cognitive Science Society@inproceedings{GriebenSpencerSchöner2024, author = {Grieben, Raul and Spencer, John P. and Schöner, Gregor}, title = {Visual selective attention: Priority is all you need}, booktitle = {Proceedings of the 46th Annual Conference of the Cognitive Science Society}, editor = {Samuelson, L. K. and Frank, S. L. and Toneva, M. and Mackey, A. and Hazeltine, E.}, year = {2024}, }
Grieben, R., Spencer, J. P., & Schöner, G.. (2024). Visual selective attention: Priority is all you need. In L. K. Samuelson, Frank, S. L., Toneva, M., Mackey, A., & Hazeltine, E. (Eds.), Proceedings of the 46th Annual Conference of the Cognitive Science Society.A Neural Process Model of Structure Mapping Accounts for Children’s Development of Analogical Mapping by Change in Inhibitory ControlKang, M., Sabinasz, D., & Schöner, G.In L. K. Samuelson, Frank, S. L., Toneva, M., Mackey, A., & Hazeltine, E. (Eds.), Proceedings of the 46th Annual Conference of the Cognitive Science Society@inproceedings{KangSabinaszSchöner2024, author = {Kang, Minseok and Sabinasz, Daniel and Schöner, Gregor}, title = {A Neural Process Model of Structure Mapping Accounts for Children’s Development of Analogical Mapping by Change in Inhibitory Control}, booktitle = {Proceedings of the 46th Annual Conference of the Cognitive Science Society}, editor = {Samuelson, L. K. and Frank, S. L. and Toneva, M. and Mackey, A. and Hazeltine, E.}, year = {2024}, }
Kang, M., Sabinasz, D., & Schöner, G.. (2024). A Neural Process Model of Structure Mapping Accounts for Children’s Development of Analogical Mapping by Change in Inhibitory Control. In L. K. Samuelson, Frank, S. L., Toneva, M., Mackey, A., & Hazeltine, E. (Eds.), Proceedings of the 46th Annual Conference of the Cognitive Science Society.Interaction of polarity and truth value - A neural dynamic architecture of negation processingKati, L., Sabinasz, D., Schöner, G., & Kaup, B.In L. K. Samuelson, Frank, S. L., Toneva, M., Mackey, A., & Hazeltine, E. (Eds.), Proceedings of the 46th Annual Conference of the Cognitive Science Society@inproceedings{KatiSabinaszSchönerEtAl2024, author = {Kati, Lea and Sabinasz, Daniel and Schöner, Gregor and Kaup, Barbara}, title = {Interaction of polarity and truth value - A neural dynamic architecture of negation processing}, booktitle = {Proceedings of the 46th Annual Conference of the Cognitive Science Society}, editor = {Samuelson, L. K. and Frank, S. L. and Toneva, M. and Mackey, A. and Hazeltine, E.}, year = {2024}, }
Kati, L., Sabinasz, D., Schöner, G., & Kaup, B. (2024). Interaction of polarity and truth value - A neural dynamic architecture of negation processing. In L. K. Samuelson, Frank, S. L., Toneva, M., Mackey, A., & Hazeltine, E. (Eds.), Proceedings of the 46th Annual Conference of the Cognitive Science Society.A Neural Dynamic Model Autonomously Drives a Robot to Perform Structured Sequences of Action IntentionsSehring, S., Koebe, R., Aerdker, S., & Schöner, G.In L. K. Samuelson, Frank, S. L., Toneva, M., Mackey, A., & Hazeltine, E. (Eds.), Proceedings of the 46th Annual Conference of the CognitiveScience Society@inproceedings{SehringKoebeAerdkerEtAl2024, author = {Sehring, Stephan and Koebe, Richard and Aerdker, Sophie and Schöner, Gregor}, title = {A Neural Dynamic Model Autonomously Drives a Robot to Perform Structured Sequences of Action Intentions}, booktitle = {Proceedings of the 46th Annual Conference of the CognitiveScience Society}, editor = {Samuelson, L. K. and Frank, S. L. and Toneva, M. and Mackey, A. and Hazeltine, E.}, year = {2024}, }
Sehring, S., Koebe, R., Aerdker, S., & Schöner, G.. (2024). A Neural Dynamic Model Autonomously Drives a Robot to Perform Structured Sequences of Action Intentions. In L. K. Samuelson, Frank, S. L., Toneva, M., Mackey, A., & Hazeltine, E. (Eds.), Proceedings of the 46th Annual Conference of the CognitiveScience Society.2023
Neural dynamic foundations of a theory of higher cognition: the case of grounding nested phrasesSabinasz, D., Richter, M., & Schöner, G.Cognitive Neurodynamics@article{SabinaszRichterSchöner2023, author = {Sabinasz, Daniel and Richter, Mathis and Schöner, Gregor}, title = {Neural dynamic foundations of a theory of higher cognition: the case of grounding nested phrases}, journal = {Cognitive Neurodynamics}, month = {October}, year = {2023}, doi = {10.1007/s11571-023-10007-7}, }
Sabinasz, D., Richter, M., & Schöner, G.. (2023). Neural dynamic foundations of a theory of higher cognition: the case of grounding nested phrases. Cognitive Neurodynamics. http://doi.org/10.1007/s11571-023-10007-7The stabilization of visibility for sequentially presented, low-contrast objects: Experiments and neural field modelHock, H. S., & Schöner, G.Journal of Vision, 23(8), 12–12@article{HockSchöner2023, author = {Hock, Howard S. and Schöner, Gregor}, title = {The stabilization of visibility for sequentially presented, low-contrast objects: Experiments and neural field model}, journal = {Journal of Vision}, volume = {23}, number = {8}, pages = {12–12}, month = {August}, year = {2023}, doi = {10.1167/jov.23.8.12}, }
Hock, H. S., & Schöner, G.. (2023). The stabilization of visibility for sequentially presented, low-contrast objects: Experiments and neural field model. Journal of Vision, 23(8), 12–12. http://doi.org/10.1167/jov.23.8.122022
A Neural Dynamic Model Perceptually Grounds Nested Noun PhrasesSabinasz, D., & Schöner, G.Topics in Cognitive Science@article{SabinaszSchöner2022b, author = {Sabinasz, Daniel and Schöner, Gregor}, title = {A Neural Dynamic Model Perceptually Grounds Nested Noun Phrases}, journal = {Topics in Cognitive Science}, month = {October}, year = {2022}, doi = {10.1111/tops.12630}, }
Sabinasz, D., & Schöner, G.. (2022). A Neural Dynamic Model Perceptually Grounds Nested Noun Phrases. Topics in Cognitive Science. http://doi.org/10.1111/tops.12630Bridging DFT and DNNs: A neural dynamic process model of scene representation, guided visual search and scene grammar in natural scenesGrieben, R., & Schöner, G.In J. Culbertson, Perfors, A., Rabagliati, H., & Ramenzoni, V. (Eds.), Proceedings of the 44th Annual Conference of the Cognitive Science Society@inproceedings{GriebenSchöner2022, author = {Grieben, Raul and Schöner, Gregor}, title = {Bridging DFT and DNNs: A neural dynamic process model of scene representation, guided visual search and scene grammar in natural scenes}, booktitle = {Proceedings of the 44th Annual Conference of the Cognitive Science Society}, editor = {Culbertson, Jennifer and Perfors, Andrew and Rabagliati, Hugh and Ramenzoni, Veronica}, year = {2022}, }
Grieben, R., & Schöner, G.. (2022). Bridging DFT and DNNs: A neural dynamic process model of scene representation, guided visual search and scene grammar in natural scenes. In J. Culbertson, Perfors, A., Rabagliati, H., & Ramenzoni, V. (Eds.), Proceedings of the 44th Annual Conference of the Cognitive Science Society.A Perceptually Grounded Neural Dynamic Architecture Establishes Analogy Between Visual Object PairsHesse, M., Sabinasz, D., & Schöner, G.In J. Culbertson, Perfors, A., Rabagliati, H., & Ramenzoni, V. (Eds.), Proceedings of the 44th Annual Conference of the Cognitive Science Society@inproceedings{HesseSabinaszSchöner2022, author = {Hesse, Matthis and Sabinasz, Daniel and Schöner, Gregor}, title = {A Perceptually Grounded Neural Dynamic Architecture Establishes Analogy Between Visual Object Pairs}, booktitle = {Proceedings of the 44th Annual Conference of the Cognitive Science Society}, editor = {Culbertson, Jennifer and Perfors, Andrew and Rabagliati, Hugh and Ramenzoni, Veronica}, year = {2022}, }
Hesse, M., Sabinasz, D., & Schöner, G.. (2022). A Perceptually Grounded Neural Dynamic Architecture Establishes Analogy Between Visual Object Pairs. In J. Culbertson, Perfors, A., Rabagliati, H., & Ramenzoni, V. (Eds.), Proceedings of the 44th Annual Conference of the Cognitive Science Society.A Neural Dynamic Model Perceptually Grounds Nested Noun PhrasesSabinasz, D., & Schöner, G.In J. Culbertson, Perfors, A., Rabagliati, H., & Ramenzoni, V. (Eds.), Proceedings of the 44th Annual Conference of the Cognitive Science Society@inproceedings{SabinaszSchöner2022, author = {Sabinasz, Daniel and Schöner, Gregor}, title = {A Neural Dynamic Model Perceptually Grounds Nested Noun Phrases}, booktitle = {Proceedings of the 44th Annual Conference of the Cognitive Science Society}, editor = {Culbertson, Jennifer and Perfors, Andrew and Rabagliati, Hugh and Ramenzoni, Veronica}, year = {2022}, }
Sabinasz, D., & Schöner, G.. (2022). A Neural Dynamic Model Perceptually Grounds Nested Noun Phrases. In J. Culbertson, Perfors, A., Rabagliati, H., & Ramenzoni, V. (Eds.), Proceedings of the 44th Annual Conference of the Cognitive Science Society.2021
How do neural processes give rise to cognition? Simultaneously predicting brain and behavior with a dynamic model of visual working memory.Buss, A. T., Magnotta, V. A., Penny, W., Schöner, G., Huppert, T. J., & Spencer, J. P.Psychological Review, 128(2), 362–395@article{BussMagnottaPennyEtAl2021, author = {Buss, Aaron T and Magnotta, Vincent A. and Penny, Will and Schöner, Gregor and Huppert, Theodore J. and Spencer, John P}, title = {How do neural processes give rise to cognition? Simultaneously predicting brain and behavior with a dynamic model of visual working memory.}, journal = {Psychological Review}, volume = {128}, number = {2}, pages = {362–395}, month = {March}, year = {2021}, doi = {10.1037/rev0000264}, }
Buss, A. T., Magnotta, V. A., Penny, W., Schöner, G., Huppert, T. J., & Spencer, J. P. (2021). How do neural processes give rise to cognition? Simultaneously predicting brain and behavior with a dynamic model of visual working memory. Psychological Review, 128(2), 362–395. http://doi.org/10.1037/rev0000264A neural dynamic process model of combined bottom-up and top-down guidance in triple conjunction visual searchGrieben, R., & Schöner, G.In T. Fitch, Lamm, C., Leder, H., & Teßmar-Raible, K. (Eds.), Proceedings of the 43rd Annual Conference of the Cognitive Science Society@inproceedings{GriebenSchöner2021, author = {Grieben, Raul and Schöner, Gregor}, title = {A neural dynamic process model of combined bottom-up and top-down guidance in triple conjunction visual search}, booktitle = {Proceedings of the 43rd Annual Conference of the Cognitive Science Society}, editor = {Fitch, Tecumseh and Lamm, Claus and Leder, Helmut and Teßmar-Raible, Kristin}, year = {2021}, }
Grieben, R., & Schöner, G.. (2021). A neural dynamic process model of combined bottom-up and top-down guidance in triple conjunction visual search. In T. Fitch, Lamm, C., Leder, H., & Teßmar-Raible, K. (Eds.), Proceedings of the 43rd Annual Conference of the Cognitive Science Society.A Neural Dynamic Model of the Perceptual Grounding of Spatial and Movement RelationsRichter, M., Lins, J., & Schöner, G.Cognitive Science, 45(10), e13045@article{RichterLinsSchöner2021, author = {Richter, Mathis and Lins, Jonas and Schöner, Gregor}, title = {A Neural Dynamic Model of the Perceptual Grounding of Spatial and Movement Relations}, journal = {Cognitive Science}, volume = {45}, number = {10}, pages = {e13045}, year = {2021}, doi = {https://doi.org/10.1111/cogs.13045}, }
Richter, M., Lins, J., & Schöner, G.. (2021). A Neural Dynamic Model of the Perceptual Grounding of Spatial and Movement Relations. Cognitive Science, 45(10), e13045. http://doi.org/https://doi.org/10.1111/cogs.130452020
Motor Habituation: Theory and ExperimentAerdker, S., Feng, J., & Schöner, G.10th Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob 2020) pp. 160-167@article{AerdkerFengSchöner2020, author = {Aerdker, S. and Feng, J. and Schöner, G.}, title = {Motor Habituation: Theory and Experiment}, journal = {10th Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob 2020) pp. 160-167}, year = {2020}, }
Aerdker, S., Feng, J., & Schöner, G.. (2020). Motor Habituation: Theory and Experiment. 10th Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob 2020) pp. 160-167.Scene memory and spatial inhibition in visual search: A neural dynamic process model and new experimental evidenceGrieben, R., Tekülve, J., Zibner, S. K. U., Lins, J., Schneegans, S., & Schöner, G.Attention, Perception, & Psychophysics@article{GriebenTekülveZibnerEtAl2020, author = {Grieben, Raul and Tekülve, Jan and Zibner, Stephan K.U. and Lins, Jonas and Schneegans, Sebastian and Schöner, Gregor}, title = {Scene memory and spatial inhibition in visual search: A neural dynamic process model and new experimental evidence}, journal = {Attention, Perception, & Psychophysics}, year = {2020}, doi = {10.3758/s13414-019-01898-y}, }
Grieben, R., Tekülve, J., Zibner, S. K. U., Lins, J., Schneegans, S., & Schöner, G.. (2020). Scene memory and spatial inhibition in visual search: A neural dynamic process model and new experimental evidence. Attention, Perception, & Psychophysics. http://doi.org/10.3758/s13414-019-01898-yGrounding Spatial Language in Perception by Combining Concepts in a Neural Dynamic ArchitectureSabinasz, D., Richter, M., Lins, J., & Schöner, G.In S. Denison, Mack, M., Xu, Y., & Armstrong, B. C. (Eds.), Proceedings of the 42nd Annual Conference of the Cognitive Science Society (pp. 620–626) Cognitive Science Society@inproceedings{SabinaszRichterLinsEtAl2020, author = {Sabinasz, Daniel and Richter, Mathis and Lins, Jonas and Schöner, Gregor}, title = {Grounding Spatial Language in Perception by Combining Concepts in a Neural Dynamic Architecture}, booktitle = {Proceedings of the 42nd Annual Conference of the Cognitive Science Society}, editor = {Denison, Stephanie and Mack, Michael and Xu, Yang and Armstrong, Blair C}, pages = {620–626}, publisher = {Cognitive Science Society}, year = {2020}, }
Sabinasz, D., Richter, M., Lins, J., & Schöner, G.. (2020). Grounding Spatial Language in Perception by Combining Concepts in a Neural Dynamic Architecture. In S. Denison, Mack, M., Xu, Y., & Armstrong, B. C. (Eds.), Proceedings of the 42nd Annual Conference of the Cognitive Science Society (pp. 620–626). Cognitive Science Society.2019
Computer mouse tracking reveals motor signatures in a cognitive task of spatial language groundingLins, J., & Schöner, G.Attention, Perception, & Psychophysics@article{LinsSchöner2019, author = {Lins, Jonas and Schöner, Gregor}, title = {Computer mouse tracking reveals motor signatures in a cognitive task of spatial language grounding}, journal = {Attention, Perception, & Psychophysics}, month = {September}, year = {2019}, doi = {10.3758/s13414-019-01847-9}, }
Lins, J., & Schöner, G.. (2019). Computer mouse tracking reveals motor signatures in a cognitive task of spatial language grounding. Attention, Perception, & Psychophysics. http://doi.org/10.3758/s13414-019-01847-9A process account of the UnControlled Manifold uncontrolled manifold structure of joint space variance in pointing movementsMartin, V., Reimann, H., & Schöner, G.Biological Cybernetics@article{MartinReimannSchöner2019, author = {Martin, Valère and Reimann, Hendrik and Schöner, Gregor}, title = {A process account of the UnControlled Manifold uncontrolled manifold structure of joint space variance in pointing movements}, journal = {Biological Cybernetics}, year = {2019}, }
Martin, V., Reimann, H., & Schöner, G.. (2019). A process account of the UnControlled Manifold uncontrolled manifold structure of joint space variance in pointing movements. Biological Cybernetics.The Dynamics of Neural Populations Capture the Laws of the MindSchöner, G.Topics in Cognitive Science, 1–15@article{Schöner2019, author = {Schöner, Gregor}, title = {The Dynamics of Neural Populations Capture the Laws of the Mind}, journal = {Topics in Cognitive Science}, pages = {1–15}, year = {2019}, doi = {10.1111/tops.12453}, }
Schöner, G. (2019). The Dynamics of Neural Populations Capture the Laws of the Mind. Topics in Cognitive Science, 1–15. http://doi.org/10.1111/tops.12453Autonomous Sequence Generation for a Neural Dynamic Robot: Scene Perception, Serial Order, and Object-Oriented MovementTekülve, J., Fois, A., Sandamirskaya, Y., & Schöner, G.Frontiers in Neurorobotics, 13, 95@article{TekülveFoisSandamirskayaEtAl2019, author = {Tekülve, Jan and Fois, Adrien and Sandamirskaya, Yulia and Schöner, Gregor}, title = {Autonomous Sequence Generation for a Neural Dynamic Robot: Scene Perception, Serial Order, and Object-Oriented Movement}, journal = {Frontiers in Neurorobotics}, volume = {13}, pages = {95}, year = {2019}, doi = {10.3389/fnbot.2019.00095}, }
Tekülve, J., Fois, A., Sandamirskaya, Y., & Schöner, G.. (2019). Autonomous Sequence Generation for a Neural Dynamic Robot: Scene Perception, Serial Order, and Object-Oriented Movement. Frontiers in Neurorobotics, 13, 95. http://doi.org/10.3389/fnbot.2019.00095Neural dynamic concepts for intentional systemsTekülve, J., & Schöner, G.In 41th Annual Conference of the Cognitive Science Society (CogSci 2019)@inproceedings{TekülveSchöner2019, author = {Tekülve, Jan and Schöner, Gregor}, title = {Neural dynamic concepts for intentional systems}, booktitle = {41th Annual Conference of the Cognitive Science Society (CogSci 2019)}, year = {2019}, }
Tekülve, J., & Schöner, G.. (2019). Neural dynamic concepts for intentional systems. In 41th Annual Conference of the Cognitive Science Society (CogSci 2019).Autonomously learning beliefs is facilitated by a neural dynamic network driving an intentional agentTekülve, J., & Schöner, G.In Development and Learning and Epigenetic Robotics (ICDL-EpiRob), 2019 Joint IEEE International Conference on (pp. 143–150) IEEE@inproceedings{TekülveSchöner2019b, author = {Tekülve, Jan and Schöner, Gregor}, title = {Autonomously learning beliefs is facilitated by a neural dynamic network driving an intentional agent}, booktitle = {Development and Learning and Epigenetic Robotics (ICDL-EpiRob), 2019 Joint IEEE International Conference on}, pages = {143–150}, organization = {IEEE}, year = {2019}, }
Tekülve, J., & Schöner, G.. (2019). Autonomously learning beliefs is facilitated by a neural dynamic network driving an intentional agent. In Development and Learning and Epigenetic Robotics (ICDL-EpiRob), 2019 Joint IEEE International Conference on (pp. 143–150). IEEE.2018
A neural dynamic model for the perceptual grounding of spatial and movement relationsRichter, M.Doctoral thesis, Ruhr-Universität Bochum, Universitätsstr. 150, 44801 Bochum@phdthesis{Richter2018, author = {Richter, Mathis}, title = {A neural dynamic model for the perceptual grounding of spatial and movement relations}, school = {Ruhr-Universität Bochum}, address = {Universitätsstr. 150, 44801 Bochum}, month = {July }, year = {2018}, }
Richter, M. (2018, July). A neural dynamic model for the perceptual grounding of spatial and movement relations. Doctoral thesis, Ruhr-Universität Bochum, Universitätsstr. 150, 44801 Bochum.Sequences of discrete attentional shifts emerge from a neural dynamic architecture for conjunctive visual search that operates in continuous timeGrieben, R., Tekülve, J., Zibner, S. K. U., Schneegans, S., & Schöner, G.In T. T. Rogers, Rau, M., Zhu, X., & Kalish, C. W. (Eds.), Proceedings of the 40th Annual Conference of the Cognitive Science Society@inproceedings{GriebenTekülveZibnerEtAl2018, author = {Grieben, R and Tekülve, J. and Zibner, S.K.U. and Schneegans, S. and Schöner, G.}, title = {Sequences of discrete attentional shifts emerge from a neural dynamic architecture for conjunctive visual search that operates in continuous time}, booktitle = {Proceedings of the 40th Annual Conference of the Cognitive Science Society}, editor = {Rogers, T.T. and Rau, M. and Zhu, X. and Kalish, C. W.}, year = {2018}, }
Grieben, R., Tekülve, J., Zibner, S. K. U., Schneegans, S., & Schöner, G.. (2018). Sequences of discrete attentional shifts emerge from a neural dynamic architecture for conjunctive visual search that operates in continuous time. In T. T. Rogers, Rau, M., Zhu, X., & Kalish, C. W. (Eds.), Proceedings of the 40th Annual Conference of the Cognitive Science Society.Anticipatory coarticulation in non-speeded arm movements can be motor-equivalent, carry-over coarticulation always isHansen, E., Grimme, B., Reimann, H., & Schöner, G.Experimental Brain Research@article{HansenGrimmeReimannEtAl2018, author = {Hansen, Eva and Grimme, Britta and Reimann, Hendrik and Schöner, Gregor}, title = {Anticipatory coarticulation in non-speeded arm movements can be motor-equivalent, carry-over coarticulation always is}, journal = {Experimental Brain Research}, year = {2018}, doi = {10.1007/s00221-018-5215-5}, }
Hansen, E., Grimme, B., Reimann, H., & Schöner, G.. (2018). Anticipatory coarticulation in non-speeded arm movements can be motor-equivalent, carry-over coarticulation always is. Experimental Brain Research. http://doi.org/10.1007/s00221-018-5215-5Erste Ansätze zur automatischen Erkennung von Gruppenverhalten mithilfe des ComputersehensHorn, D., Houben, S., & Schöner, G.In J. Reichertz & Keysers, V. (Eds.), Emotion. Eskalation. Gewalt. (pp. 130–147) Beltz Juventa@incollection{HornHoubenSchöner2018, author = {Horn, Daniela and Houben, Sebastian and Schöner, Gregor}, title = {Erste Ansätze zur automatischen Erkennung von Gruppenverhalten mithilfe des Computersehens}, booktitle = {Emotion. Eskalation. Gewalt.}, editor = {Reichertz, Jo and Keysers, V.}, pages = {130–147}, publisher = {Beltz Juventa}, year = {2018}, }
Horn, D., Houben, S., & Schöner, G.. (2018). Erste Ansätze zur automatischen Erkennung von Gruppenverhalten mithilfe des Computersehens. In J. Reichertz & Keysers, V. (Eds.), Emotion. Eskalation. Gewalt. (pp. 130–147). Beltz Juventa.A Neural Dynamic Architecture That Autonomously Builds Mental ModelsKounatidou, P., Richter, M., & Schöner, G.In T. T. Rogers, Rau, M., Zhu, X., & Kalish, C. W. (Eds.), Proceedings of the 40th Annual Conference of the Cognitive Science Society (pp. 643–648)@inproceedings{KounatidouRichterSchöner2018, author = {Kounatidou, P. and Richter, M. and Schöner, G.}, title = {A Neural Dynamic Architecture That Autonomously Builds Mental Models}, booktitle = {Proceedings of the 40th Annual Conference of the Cognitive Science Society}, editor = {Rogers, T.T. and Rau, M. and Zhu, X. and Kalish, C. W.}, pages = {643–648}, year = {2018}, }
Kounatidou, P., Richter, M., & Schöner, G.. (2018). A Neural Dynamic Architecture That Autonomously Builds Mental Models. In T. T. Rogers, Rau, M., Zhu, X., & Kalish, C. W. (Eds.), Proceedings of the 40th Annual Conference of the Cognitive Science Society (pp. 643–648).2017
A Neural Dynamic Architecture for Reaching and Grasping Integrates Perception and Movement Generation and Enables On-Line UpdatingKnips, G., Zibner, S. K. U., Reimann, H., & Schöner, G.Frontiers in Neurorobotics, 11(March), 9:1–14@article{KnipsZibnerReimannEtAl2017, author = {Knips, Guido and Zibner, Stephan K U and Reimann, Hendrik and Schöner, Gregor}, title = {A Neural Dynamic Architecture for Reaching and Grasping Integrates Perception and Movement Generation and Enables On-Line Updating}, journal = {Frontiers in Neurorobotics}, volume = {11}, number = {March}, pages = {9:1–14}, month = {March}, year = {2017}, doi = {10.3389/fnbot.2017.00009}, }
Knips, G., Zibner, S. K. U., Reimann, H., & Schöner, G.. (2017). A Neural Dynamic Architecture for Reaching and Grasping Integrates Perception and Movement Generation and Enables On-Line Updating. Frontiers in Neurorobotics, 11(March), 9:1–14. http://doi.org/10.3389/fnbot.2017.00009Cue Integration by Similarity Rank List Coding — Application to Invariant Object RecognitionGrieben, R., & Würtz, R. P.In Proceedings of IEEE International Workshops on Foundations and Applications of Self* Systems (pp. 132–137)@inproceedings{GriebenWürtz2017, author = {Grieben, Raul and Würtz, Rolf P.}, title = {Cue Integration by Similarity Rank List Coding — Application to Invariant Object Recognition}, booktitle = {Proceedings of IEEE International Workshops on Foundations and Applications of Self* Systems}, pages = {132–137}, year = {2017}, doi = {10.1109/FAS*W.2017.38}, }
Grieben, R., & Würtz, R. P.. (2017). Cue Integration by Similarity Rank List Coding — Application to Invariant Object Recognition. In Proceedings of IEEE International Workshops on Foundations and Applications of Self* Systems (pp. 132–137). http://doi.org/10.1109/FAS*W.2017.38Mouse Tracking Shows Attraction to Alternative Targets While Grounding Spatial RelationsLins, J., & Schöner, G.In Proceedings of the 39th Annual Conference of the Cognitive Science Society Austin, TX: Cognitive Science Society@inproceedings{LinsSchöner2017, author = {Lins, Jonas and Schöner, Gregor}, title = {Mouse Tracking Shows Attraction to Alternative Targets While Grounding Spatial Relations}, booktitle = {Proceedings of the 39th Annual Conference of the Cognitive Science Society}, publisher = {Cognitive Science Society}, address = {Austin, TX}, year = {2017}, }
Lins, J., & Schöner, G.. (2017). Mouse Tracking Shows Attraction to Alternative Targets While Grounding Spatial Relations. In Proceedings of the 39th Annual Conference of the Cognitive Science Society. Austin, TX: Cognitive Science Society.A Neural-Dynamic Architecture for Concurrent Estimation of Object Pose and Identity