Cognitive Behavior of Humans, Animals, and Machines:
Situation Model Perspectives
Oktober 2019 – Juli 2020
Leitung: Werner Schneider (Bielefeld, GER), Helge Ritter (Bielefeld, GER)
Holk Cruse studied biology, physics, and mathematics at the University of Freiburg/Brsg. He received his PhD at the University of Stuttgart in 1972 (Pattern Recognition in Honey Bees). Afterwards, we worked as a Postdoc at the University of Kaiserslautern. From 1981 until 2008, he was a Professor for Biological Cybernetics/Theoretical Biology at the University of Bielefeld. Currently, he is working at the Center for Cognitive Interaction Technology (CITEC), Bielefeld University.
Current Main Research Interests
Holk Cruse's research concentrates on behavioral studies on insects, crustacea and humans, complemented by software and hardware simulations of the underlying brain structures. In this context, his work concerns the control of embodied agents, focusing on hexapod walking with and without internal body model and on navigation of insects. He addresses the question as to how (sensory-)motor memories can be organized in parallel or (pseudo-)hierarchical arrangements by neuronal networks that are characterized by adopting various discrete attractor states or, in another case, "flat" attractor states to represent internal body models. In addition he is interested in possible functional aspects of subjective experience.
Five selected publications with particular relevance to the Research Group
- Schilling, M., & Cruse, H. (2017). ReaCog, a minimal cognitive controller based on recruitment of reactive systems. Frontiers in Neurorobotics, 11, 3. doi:10.3389/fnbot.2017.00003
- Cruse, H. & Schilling, M. (2015). Mental States as Emergent Properties - From Walking to Consciousness. In T. Metzinger & J. M. Windt (Eds). Open MIND: 9(C). Frankfurt am Main: MIND Group. doi:10.15502/9783958570436
- Schilling, M., Paskarbeit, J., Hoinville, T., Hüffmeier, A., Schneider, A., Schmitz, J., & Cruse, H. (2013). A hexapod walker using a heterarchical architecture for action selection. Frontiers in computational neuroscience, 7, 126. doi:10.3389/fncom.2013.00126
- Cruse, H., & Wehner, R. (2011). No need for a cognitive map: decentralized memory for insect navigation. PLoS computational biology, 7, e1002009.
- Makarov, V. A., Song, Y., Velarde, M. G., Hübner, D., & Cruse, H. (2008). Elements for a general memory structure: properties of recurrent neural networks used to form situation models. Biological Cybernetics, 98, 371-395.