Daniel Sabinasz, M.Sc.
Theory of Cognitive Systems
Theory of Embodied Cognition
Ruhr-Universität Bochum
Institut für Neuroinformatik
Universitätsstraße 150
Building NB, Room NB 02/74
Universitätsstraße 150
Building NB, Room NB 02/74
D-44801 Bochum, Germany
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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/s11571-023-10007-72022
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.12630A 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.2020
Grounding 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.2016
Approximation-based efficient query processing with the earth mover’s distanceUysal, M. S., Sabinasz, D., & Seidl, T.In International Conference on Database Systems for Advanced Applications (pp. 165–180) Springer@inproceedings{UysalSabinaszSeidl2016, author = {Uysal, Merih Seran and Sabinasz, Daniel and Seidl, Thomas}, title = {Approximation-based efficient query processing with the earth mover’s distance}, booktitle = {International Conference on Database Systems for Advanced Applications}, pages = {165–180}, organization = {Springer}, year = {2016}, }Uysal, M. S., Sabinasz, D., & Seidl, T. (2016). Approximation-based efficient query processing with the earth mover’s distance. In International Conference on Database Systems for Advanced Applications (pp. 165–180). Springer.2015
Effective Content-Based Near-Duplicate Video DetectionUysal, M. S., Beecks, C., Sabinasz, D., & Seidl, T.In 2015 IEEE International Symposium on Multimedia (ISM) (pp. 254–257) IEEE@inproceedings{UysalBeecksSabinaszEtAl2015, author = {Uysal, Merih Seran and Beecks, Christian and Sabinasz, Daniel and Seidl, Thomas}, title = {Effective Content-Based Near-Duplicate Video Detection}, booktitle = {2015 IEEE International Symposium on Multimedia (ISM)}, pages = {254–257}, organization = {IEEE}, year = {2015}, }Uysal, M. S., Beecks, C., Sabinasz, D., & Seidl, T. (2015). Effective Content-Based Near-Duplicate Video Detection. In 2015 IEEE International Symposium on Multimedia (ISM) (pp. 254–257). IEEE.Large-scale efficient and effective video similarity searchUysal, M. S., Beecks, C., Sabinasz, D., & Seidl, T.In Proceedings of the 2015 Workshop on Large-Scale and Distributed System for Information Retrieval (pp. 3–8)@inproceedings{UysalBeecksSabinaszEtAl2015b, author = {Uysal, Merih Seran and Beecks, Christian and Sabinasz, Daniel and Seidl, Thomas}, title = {Large-scale efficient and effective video similarity search}, booktitle = {Proceedings of the 2015 Workshop on Large-Scale and Distributed System for Information Retrieval}, pages = {3–8}, year = {2015}, }Uysal, M. S., Beecks, C., Sabinasz, D., & Seidl, T. (2015). Large-scale efficient and effective video similarity search. In Proceedings of the 2015 Workshop on Large-Scale and Distributed System for Information Retrieval (pp. 3–8).FELICITY: A flexible video similarity search framework using the earth mover’s distanceUysal, M. S., Beecks, C., Sabinasz, D., & Seidl, T.In International Conference on Similarity Search and Applications (pp. 347–350) Springer@inproceedings{UysalBeecksSabinaszEtAl2015c, author = {Uysal, Merih Seran and Beecks, Christian and Sabinasz, Daniel and Seidl, Thomas}, title = {FELICITY: A flexible video similarity search framework using the earth mover’s distance}, booktitle = {International Conference on Similarity Search and Applications}, pages = {347–350}, organization = {Springer}, year = {2015}, }Uysal, M. S., Beecks, C., Sabinasz, D., & Seidl, T. (2015). FELICITY: A flexible video similarity search framework using the earth mover’s distance. In International Conference on Similarity Search and Applications (pp. 347–350). Springer.Winter Term 2023/2024
Lab courses Preparatory Course: Mathematics and Computer Science for Modeling Winter Term 2022/2023
Lab courses Preparatory Course: Mathematics and Computer Science for Modeling Winter Term 2023/2024
Lectures Computational Neuroscience: Neural Dynamics Summer Term 2023
Lab courses Autonomous Robotics Tutorial INI retreat Winter Term 2022/2023
Lab courses Autonomous Robotics Lectures Computational Neuroscience: Neural Dynamics Summer Term 2022
Lab courses Autonomous Robotics Winter Term 2021/2022
Lab courses Autonomous Robotics Summer Term 2021
Lab courses Autonomous Robotics Winter Term 2020/2021
Lab courses Autonomous Robotics Winter Term 2019/2020
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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