Fully Self-Supervised Learning of an Arm Model. - Martin V. Butz; Armin Gufler; Konstantin Schmid; Fabian Schrodt (LWA, 2013)

Modeling Perspective-Taking by Correlating Visual and Proprioceptive Dynamics. - Fabian Schrodt; Georg Layher; Heiko Neumann; Martin V. Butz (CogSci, 2014)

Modeling perspective-taking upon observation of 3D biological motion. - Fabian Schrodt; Georg Layher; Heiko Neumann; Martin V. Butz (ICDL-EPIROB, 2014)

Embodied learning of a generative neural model for biological motion perception and inference. - Fabian Schrodt; Georg Layher; Heiko Neumann; Martin V. Butz (Frontiers Comput. Neurosci., 2015)

Is it Living? Insights from Modeling Event-Oriented, Self-Motivated, Acting, Learning and Conversing Game Agents. - Martin V. Butz; Mihael Simonic; Marcel Binz; Jonas Einig; Stephan Ehrenfeld; Fabian Schrodt (CogSci, 2016)

An Event-Schematic, Cooperative, Cognitive Architecture Plays Super Mario. - Fabian Schrodt; Yves Röhm; Martin V. Butz (EUCognition, 2016)

Just Imagine! Learning to Emulate and Infer Actions with a Stochastic Generative Architecture. - Fabian Schrodt; Martin V. Butz (Frontiers Robotics AI, 2016)

Learning Temporal Generative Neural Codes for Biological Motion Perception and Inference. - Fabian Schrodt; Martin V. Butz (CogSci, 2017)

Mario Becomes Cognitive. - Fabian Schrodt; Jan Kneissler; Stephan Ehrenfeld; Martin V. Butz (Top. Cogn. Sci., 2017)

Neurocomputational Principles of Action Understanding: Perceptual Inference, Predictive Coding, and Embodied Simulation. - Fabian Schrodt (2018)

Binding and Perspective Taking as Inference in a Generative Neural Network Model. - Mahdi Sadeghi; Fabian Schrodt; Sebastian Otte; Martin V. Butz (ICANN (3), 2021)

Gestalt Perception of Biological Motion: A Generative Artificial Neural Network Model. - Mahdi Sadeghi; Fabian Schrodt; Sebastian Otte; Martin V. Butz (ICDL, 2021)