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Daniel Schmid
Timo Oess
Heiko Neumann

Showing results (31-40 of 69) with videos related to

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Frontiers in Neuroscience|May 6, 2015
On event-based optical flow detectionTobias Brosch, Stephan Tschechne, Heiko Neumann
Plos One|December 2, 2008
Object segmentation from motion discontinuities and temporal occlusions--a biologically inspired modelCornelia Beck, Thilo Ognibeni, Heiko Neumann
Frontiers in Neurorobotics|April 7, 2017
Real-Time Biologically Inspired Action Recognition from Key Poses Using a Neuromorphic ArchitectureGeorg Layher, Tobias Brosch, Heiko Neumann
Plos One|June 22, 2012
Active gaze control improves optic flow-based segmentation and steeringFlorian Raudies, Ennio Mingolla, Heiko Neumann
Plos One|November 12, 2015
Neural Mechanisms of Cortical Motion Computation Based on a Neuromorphic Sensory SystemLuma Issa Abdul-Kreem, Heiko Neumann
Neural Computation|May 14, 2013
A bio-inspired, computational model suggests velocity gradients of optic flow locally encode ordinal depth at surface borders and globally they encode self-motionFlorian Raudies, Stefan Ringbauer, Heiko Neumann
Plos Computational Biology|October 27, 2015
Reinforcement Learning of Linking and Tracing Contours in Recurrent Neural NetworksTobias Brosch, Heiko Neumann, Pieter R Roelfsema
Vision Research|April 11, 2006
Gradient representation and perception in the early visual system--a novel account of Mach band formationMatthias S Keil, Gabriel Cristóbal, Heiko Neumann
Neural Networks : the Official Journal of the International Neural Network Society|July 26, 2005
Recovering real-world images from single-scale boundaries with a novel filling-in architectureMatthias S Keil, Gabriel Cristóbal, Thorsten Hansen, et al.
Frontiers in Psychology|December 25, 2014
Adaptive learning in a compartmental model of visual cortex-how feedback enables stable category learning and refinementGeorg Layher, Fabian Schrodt, Martin V Butz, et al.
Pageof 7

Showing results (31-40 of 69) with videos related to

Sort By:
Pageof 7
Frontiers in Neuroscience|May 6, 2015
On event-based optical flow detectionTobias Brosch, Stephan Tschechne, Heiko Neumann
Plos One|December 2, 2008
Object segmentation from motion discontinuities and temporal occlusions--a biologically inspired modelCornelia Beck, Thilo Ognibeni, Heiko Neumann
Frontiers in Neurorobotics|April 7, 2017
Real-Time Biologically Inspired Action Recognition from Key Poses Using a Neuromorphic ArchitectureGeorg Layher, Tobias Brosch, Heiko Neumann
Plos One|June 22, 2012
Active gaze control improves optic flow-based segmentation and steeringFlorian Raudies, Ennio Mingolla, Heiko Neumann
Plos One|November 12, 2015
Neural Mechanisms of Cortical Motion Computation Based on a Neuromorphic Sensory SystemLuma Issa Abdul-Kreem, Heiko Neumann
Neural Computation|May 14, 2013
A bio-inspired, computational model suggests velocity gradients of optic flow locally encode ordinal depth at surface borders and globally they encode self-motionFlorian Raudies, Stefan Ringbauer, Heiko Neumann
Plos Computational Biology|October 27, 2015
Reinforcement Learning of Linking and Tracing Contours in Recurrent Neural NetworksTobias Brosch, Heiko Neumann, Pieter R Roelfsema
Vision Research|April 11, 2006
Gradient representation and perception in the early visual system--a novel account of Mach band formationMatthias S Keil, Gabriel Cristóbal, Heiko Neumann
Neural Networks : the Official Journal of the International Neural Network Society|July 26, 2005
Recovering real-world images from single-scale boundaries with a novel filling-in architectureMatthias S Keil, Gabriel Cristóbal, Thorsten Hansen, et al.
Frontiers in Psychology|December 25, 2014
Adaptive learning in a compartmental model of visual cortex-how feedback enables stable category learning and refinementGeorg Layher, Fabian Schrodt, Martin V Butz, et al.
Pageof 7