Mathis Richter

Institut für Neuroinformatik
Ruhr-Universität Bochum
Universitätsstraße 150
Building NB, Room NB 02/75
D-44801 Bochum
Theory of Cognitive Systems


I am involved in two closely related groups at the institute, the Embodied Cognition group and the Autonomous Robotics group, both lead by Prof. Dr. Gregor Schöner. In both groups, we are trying to understand how cognitive processes are realized in the human brain. We develop mathematical models of cognitive processes that explain, for instance, how populations of neurons in the brain can stand for something in the world (for example, when we see a duck in a pond and know that this thing we are seeing is in fact a duck). To demonstrate the autonomy of our cognitive models and show how our they can be linked to sensory-motor systems, we often implement the models on robotic platforms.

My personal area of study is higher cognition, were I am interested in problems like the representation of concepts (e.g., the concept 'duck' or the concept 'red'), how these concepts can be combined to imagine complex scenes (like a red duck), or how we can do operations on these concepts. Within this broad field, I am particularly interested in the mechanisms that flexibly organize these different operations in time.

In my research, I am working with Dynamic Field Theory, an abstract mathematical model of activation distributions in the human brain.

Richter, M., Lins, J., & Schöner, G.. (2017). A neural dynamic model generates descriptions of object-oriented actions. Topics in Cognitive Science, 9(1), 35–47.
Lomp, O., Richter, M., Zibner, S. K. U., & Schöner, G.. (2016). Developing Dynamic Field Theory Architectures for Embodied Cognitive Systems with cedar. Frontiers in Neurorobotics, 10(November), 14.
Lobato, D., Sandamirskaya, Y., Richter, M., & Schöner, G.. (2015). Parsing of action sequences: A neural dynamics approach. Paladyn, Journal of Behavioral Robotics, 6(1), 119–135.
Oubbati, F., Richter, M., & Schöner, G.. (2014). A neural dynamics to organize timed movement : Demonstration in a robot ball bouncing task. In 4th International Conference on Development and Learning and on Epigenetic Robotics (pp. 291–298). Palazzo Ducale, Genoa, Italy.
Richter, M., Lins, J., Schneegans, S., Sandamirskaya, Y., & Schöner, G.. (2014). Autonomous Neural Dynamics to Test Hypotheses in a Model of Spatial Language. In P. Bello, Guarini, M., McShane, M., & Scassellati, B. (Eds.), Proceedings of the 36th Annual Conference of the Cognitive Science Society (pp. 2847–2852). Austin, TX: Cognitive Science Society.
Richter, M., Lins, J., Schneegans, S., & Schöner, G.. (2014). A neural dynamic architecture resolves phrases about spatial relations in visual scenes. In 24th International Conference on Artificial Neural Networks (ICANN) (pp. 201–208). Heidelberg, Germany: Springer.
Kazerounian, S., Luciw, M., Richter, M., & Sandamirskaya, Y.. (2013). Autonomous Reinforcement of Behavioral Sequences in Neural Dynamics. In International Joint Conference on Neural Networks (IJCNN).
Lomp, O., Zibner, S. K. U., Richter, M., Ranó, I., & Schöner, G.. (2013). A software framework for cognition, embodiment, dynamics, and autonomy in robotics: cedar. In Artificial Neural Networks and Machine Learning–ICANN 2013 (pp. 475–482). Springer.
Luciw, M., Kazerounian, S., Lakhmann, K., Richter, M., & Sandamirskaya, Y.. (2013). Learning the Perceptual Conditions of Satisfaction of Elementary Behaviors. In Robotics: Science and Systems (RSS), Workshop "Active Learning in Robotics: Exploration, Curiosity, and Interaction".
Richter, M., Sandamirskaya, Y., & Schöner, G.. (2012). A robotic architecture for action selection and behavioral organization inspired by human cognition. In IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS.
Sandamirskaya, Y., Richter, M., & Schöner, G.. (2011). A neural-dynamic architecture for behavioral organization of an embodied agent. In IEEE International Conference on Development and Learning and on Epigenetic Robotics (ICDL EPIROB 2011) (pp. 1–7).
Winter Term 2017/2018
Lab coursesAutonomous Robotics
Summer Term 2017
Lab coursesAutonomous Robotics
Winter Term 2016/2017
Lab coursesAutonomous Robotics
Summer Term 2016
Lab coursesAutonomous Robotics
Winter Term 2015/2016
Lab coursesAutonomous Robotics