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"
Mean distance: 14.04 (cluster 29)
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Oess T, Ernst MO, Neumann H. (2020) Computational principles of neural adaptation for binaural signal integration. Plos Computational Biology. 16: e1008020
Oess T, Löhr MPR, Schmid D, et al. (2020) From Near-Optimal Bayesian Integration to Neuromorphic Hardware: A Neural Network Model of Multisensory Integration. Frontiers in Neurorobotics. 14: 29
Habtegiorgis SW, Jarvers C, Rifai K, et al. (2019) The Role of Bottom-Up and Top-Down Cortical Interactions in Adaptation to Natural Scene Statistics. Frontiers in Neural Circuits. 13: 9
Löhr MPR, Schmid D, Neumann H. (2019) Motion Integration and Disambiguation concerted by Feedforward-Feedback Interactions of V1-MT-MSTl Journal of Vision. 19
Jarvers C, Neumann H. (2019) A compartmental model of feedback modulation in visual cortex Journal of Vision. 19
Layher G, Neumann H. (2018) Points and Stripes: A Novel Technique for Masking Biological Motion Point-Light Stimuli. Frontiers in Psychology. 9: 1455
Saeed A, Al-Hamadi A, Neumann H. (2018) Facial point localization via neural networks in a cascade regression framework Multimedia Tools and Applications. 77: 2261-2283
Layher G, Brosch T, Neumann H. (2017) Real-Time Biologically Inspired Action Recognition from Key Poses Using a Neuromorphic Architecture. Frontiers in Neurorobotics. 11: 13
Gomez O, Neumann H. (2016) Biologically Inspired Model for Inference of 3D Shape from Texture. Plos One. 11: e0160868
Abdul-Kreem LI, Neumann H. (2015) Neural Mechanisms of Cortical Motion Computation Based on a Neuromorphic Sensory System. Plos One. 10: e0142488
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