معرفی
Dr. Jan Tekülve is a researcher at the Institute of Neuroinformatics (INI), part of the Faculty of Computer Science at Ruhr University Bochum. Holding a Dr.-Ing. degree, he actively contributes to neural dynamics research and teaches Autonomous Robotics lab courses alongside preparatory mathematics and computer science courses for modeling.
His research centers on neural dynamic process models for cognitive functions including visual search, scene memory, attentional mechanisms, and embodied agent behavior. Key interests span embodied cognition, autonomous robotics, scene grammar, and the neural basis of goal-directed actions, with a focus on translating biological principles into robotic implementations.
Analysis of his 13 publications (2015-2024) reveals a consistent trajectory in neural dynamic modeling across cognitive domains. Early work examined developmental aspects of reaching and attentional shifts, evolving toward integrated models of intentional agents, active vision, and scene understanding. Recent contributions emphasize human-inspired architectures for naturalistic environments and foundational principles for embodied cognition.
Within the INI's Theory of Cognitive Systems group, Tekülve collaborates extensively with Prof. Gregor Schöner and colleagues on interdisciplinary projects bridging experimental psychology, neurophysiology, and robotics. His teaching portfolio includes continuous instruction in Autonomous Robotics since 2016/2017 and preparatory courses supporting computational modeling education.
