| Mario becomes cognitive F Schrodt, J Kneissler, S Ehrenfeld, MV Butz Topics in cognitive science 9 (2), 343-373, 2017 | 28 | 2017 |
| Embodied learning of a generative neural model for biological motion perception and inference F Schrodt, G Layher, H Neumann, MV Butz Frontiers in computational neuroscience 9, 79, 2015 | 20 | 2015 |
| Just imagine! learning to emulate and infer actions with a stochastic generative architecture F Schrodt, MV Butz Frontiers in Robotics and AI, 5, 2016 | 15 | 2016 |
| An event-schematic, cooperative, cognitive architecture plays super mario F Schrodt, Y Röhm, MV Butz Cognitive Robot Architectures 10, 10-15, 2017 | 10 | 2017 |
| Adaptive learning in a compartmental model of visual cortex—how feedback enables stable category learning and refinement G Layher, F Schrodt, MV Butz, H Neumann Frontiers in psychology 5, 1287, 2014 | 8 | 2014 |
| Modeling perspective-taking upon observation of 3D biological motion F Schrodt, G Layher, H Neumann, MV Butz 4th International Conference on Development and Learning and on Epigenetic …, 2014 | 6 | 2014 |
| Neurocomputational Principles of Action Understanding: Perceptual Inference, Predictive Coding, and Embodied Simulation F Schrodt | 4 | 2018 |
| Mario Lives! An Adaptive Learning AI Approach for Generating a Living and Conversing Mario Agent S Ehrenfeld, F Schrodt, MV Butz Video Proceedings of the 29th Conference of the Association for the …, 2015 | 4 | 2015 |
| Modeling perspective-taking by forecasting 3D biological motion sequences F Schrodt, MV Butz Cognitive Processing, Supplementary KogWis 15, 137-139, 2014 | 4 | 2014 |
| Modeling perspective-taking by correlating visual and proprioceptive dynamics F Schrodt, G Layher, H Neumann, M Butz Proceedings of the Annual Meeting of the Cognitive Science Society 36 (36), 2014 | 4 | 2014 |
| Binding and perspective taking as inference in a generative neural network model M Sadeghi, F Schrodt, S Otte, MV Butz Artificial Neural Networks and Machine Learning–ICANN 2021: 30th …, 2021 | 3 | 2021 |
| Gestalt perception of biological motion: a generative artificial neural network model M Sadeghi, F Schrodt, S Otte, MV Butz 2021 IEEE International Conference on Development and Learning (ICDL), 1-7, 2021 | 2 | 2021 |
| Mario Becomes Social! F Schrodt, J Lohmann, MV Butz Video Proceedings of the 30th Conference of the Association for the …, 2016 | 2 | 2016 |
| Learning Conditional Mappings between Population-Coded Modalities F Schrodt, MV Butz Machine Learning Reports 03/2015 3, 141-148, 2015 | 2 | 2015 |
| Is it Living? Insights from Modeling Event-Oriented, Self-Motivated, Acting, Learning and Conversing Game Agents. MV Butz, M Simonic, M Binz, J Einig, S Ehrenfeld, F Schrodt CogSci, 2016 | 1 | 2016 |
| Ensembles of Neural Oscillators D Koryakin, F Schrodt, MV Butz Machine Learning Reports 03/2015 3, 57-64, 2015 | 1 | 2015 |
| Learning Temporal Generative Neural Codes for Biological Motion Perception and Inference. F Schrodt, MV Butz CogSci, 2017 | | 2017 |
| Fully Self-Supervised Learning of an Arm Model. MV Butz, A Gufler, K Schmid, F Schrodt LWA, 173-179, 2013 | | 2013 |
Martin V. ButzProfessor of Cognitive Modeling, Computer Science, Psychology, Eberhard Karls Universität TübingenEmail verificata su uni-tuebingen.de
