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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.13491ROBOVERINE: 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.2020
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-y2019
Autonomous 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
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.2017
Reaching for objects : a neural process account in a developmental perspectiveSchöner, G., Tekülve, J., & Zibner, S.In D. Corbetta & Santello, M. (Eds.), The selection and production of goal-directed behaviors: Neural correlates, development, learning, and modeling of reach-to-grasp movements Taylor & Francis@inproceedings{SchönerTekülveZibner2017, author = {Schöner, Gregor and Tekülve, Jan and Zibner, Stephan}, title = {Reaching for objects : a neural process account in a developmental perspective}, booktitle = {The selection and production of goal-directed behaviors: Neural correlates, development, learning, and modeling of reach-to-grasp movements}, editor = {Corbetta, Daniela and Santello, Marco}, publisher = {Taylor & Francis}, year = {2017}, }
Schöner, G., Tekülve, J., & Zibner, S. (2017). Reaching for objects : a neural process account in a developmental perspective. In D. Corbetta & Santello, M. (Eds.), The selection and production of goal-directed behaviors: Neural correlates, development, learning, and modeling of reach-to-grasp movements. Taylor & Francis.2016
A neural process model of learning to sequentially organize and activate pre-reachesTekülve, J., Zibner, S. K. U., & Schöner, G.In Development and Learning and Epigenetic Robotics (ICDL-Epirob), 2016 Joint IEEE International Conferences on@inproceedings{TekülveZibnerSchöner2016, author = {Tekülve, Jan and Zibner, Stephan K U and Schöner, Gregor}, title = {A neural process model of learning to sequentially organize and activate pre-reaches}, booktitle = {Development and Learning and Epigenetic Robotics (ICDL-Epirob), 2016 Joint IEEE International Conferences on}, year = {2016}, }
Tekülve, J., Zibner, S. K. U., & Schöner, G.. (2016). A neural process model of learning to sequentially organize and activate pre-reaches. In Development and Learning and Epigenetic Robotics (ICDL-Epirob), 2016 Joint IEEE International Conferences on.2015
The Neural Dynamics of Goal-Directed Arm Movements: A Developmental PerspectiveZibner, S. K. U., Tekülve, J., & Schöner, G.In Development and Learning and Epigenetic Robotics (ICDL-Epirob), 2015 Joint IEEE International Conferences on (pp. 154–161)@inproceedings{ZibnerTekülveSchöner2015, author = {Zibner, Stephan K U and Tekülve, Jan and Schöner, Gregor}, title = {The Neural Dynamics of Goal-Directed Arm Movements: A Developmental Perspective}, booktitle = {Development and Learning and Epigenetic Robotics (ICDL-Epirob), 2015 Joint IEEE International Conferences on}, pages = {154–161}, year = {2015}, }
Zibner, S. K. U., Tekülve, J., & Schöner, G.. (2015). The Neural Dynamics of Goal-Directed Arm Movements: A Developmental Perspective. In Development and Learning and Epigenetic Robotics (ICDL-Epirob), 2015 Joint IEEE International Conferences on (pp. 154–161).The Sequential Organization of Movement is Critical to the Development of Reaching: A Neural Dynamics AccountZibner, S. K. U., Tekülve, J., & Schöner, G.In Development and Learning and Epigenetic Robotics (ICDL-Epirob), 2015 Joint IEEE International Conferences on (pp. 39–46)@inproceedings{ZibnerTekülveSchöner2015b, author = {Zibner, Stephan K U and Tekülve, Jan and Schöner, Gregor}, title = {The Sequential Organization of Movement is Critical to the Development of Reaching: A Neural Dynamics Account}, booktitle = {Development and Learning and Epigenetic Robotics (ICDL-Epirob), 2015 Joint IEEE International Conferences on}, pages = {39–46}, year = {2015}, }
Zibner, S. K. U., Tekülve, J., & Schöner, G.. (2015). The Sequential Organization of Movement is Critical to the Development of Reaching: A Neural Dynamics Account. In Development and Learning and Epigenetic Robotics (ICDL-Epirob), 2015 Joint IEEE International Conferences on (pp. 39–46).Summer Term 2021
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Lab courses Autonomous Robotics The Institut für Neuroinformatik (INI) is a central research unit of the Ruhr-Universität Bochum. We aim to understand the fundamental principles through which organisms generate behavior and cognition while linked to their environments through sensory systems and while acting in those environments through effector systems. Inspired by our insights into such natural cognitive systems, we seek new solutions to problems of information processing in artificial cognitive systems. We draw from a variety of disciplines that include experimental approaches from psychology and neurophysiology as well as theoretical approaches from physics, mathematics, electrical engineering and applied computer science, in particular machine learning, artificial intelligence, and computer vision.
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