Heiko Neumann

Institute of Neural Information Processing  Ulm University, Ulm, Baden-Württemberg, Germany 
Neural models of visual information processing, computational vision and learning
"Heiko Neumann"
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Gomez O, Neumann H. (2016) Biologically Inspired Model for Inference of 3D Shape from Texture. Plos One. 11: e0160868
Hochdorfer S, Neumann H, Schlegel C. (2016) Landmark rating and selection for SLAM in dynamic environments Advances in Intelligent Systems and Computing. 302: 401-414
Kruitwagen T, Denoth-Lippuner A, Wilkins BJ, et al. (2015) Axial contraction and short-range compaction of chromatin synergistically promote mitotic chromosome condensation. Elife. 4
Abdul-Kreem LI, Neumann H. (2015) Neural Mechanisms of Cortical Motion Computation Based on a Neuromorphic Sensory System. Plos One. 10: e0142488
Brosch T, Neumann H, Roelfsema PR. (2015) Reinforcement Learning of Linking and Tracing Contours in Recurrent Neural Networks. Plos Computational Biology. 11: e1004489
Hoffmann C, Neumann H. (2015) In Vivo Mapping of FACT-Histone Interactions Identifies a Role of Pob3 C-terminus in H2A-H2B Binding. Acs Chemical Biology
Schrodt F, Layher G, Neumann H, et al. (2015) Embodied learning of a generative neural model for biological motion perception and inference. Frontiers in Computational Neuroscience. 9: 79
Halder K, Dölker N, Van Q, et al. (2015) MD simulations and FRET reveal an environment-sensitive conformational plasticity of importin-β. Biophysical Journal. 109: 277-86
Brosch T, Tschechne S, Neumann H. (2015) On event-based optical flow detection. Frontiers in Neuroscience. 9: 137
Paul J, Wundrak S, Bernhardt P, et al. (2015) Self-gated tissue phase mapping using golden angle radial sparse SENSE. Magnetic Resonance in Medicine : Official Journal of the Society of Magnetic Resonance in Medicine / Society of Magnetic Resonance in Medicine
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