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Neural Computation|September 24, 2014
Computing with a canonical neural circuits model with pool normalization and modulating feedbackTobias Brosch, Heiko Neumann
Frontiers in Computational Neuroscience|August 27, 2014
Hierarchical representation of shapes in visual cortex-from localized features to figural shape segregationStephan Tschechne, Heiko Neumann
Biological Cybernetics|March 5, 2008
Globally consistent depth sorting of overlapping 2D surfaces in a model using local recurrent interactionsAxel Thielscher, Heiko Neumann
Plos Computational Biology|November 11, 2024
Teaching deep networks to see shape: Lessons from a simplified visual worldChristian Jarvers, Heiko Neumann
Plos One|August 5, 2011
Combining feature selection and integration--a neural model for MT motion selectivityCornelia Beck, Heiko Neumann
Neural Networks : the Official Journal of the International Neural Network Society|August 4, 2004
A simple cell model with dominating opponent inhibition for robust image processingThorsten Hansen, Heiko Neumann
Neural Computation|April 9, 2004
Neural mechanisms for the robust representation of junctionsThorsten Hansen, Heiko Neumann
IEEE Transactions on Pattern Analysis and Machine Intelligence|December 16, 2006
A fast biologically inspired algorithm for recurrent motion estimationPierre Bayerl, Heiko Neumann
Plos One|June 16, 2009
Extraction of surface-related features in a recurrent model of V1-V2 interactionsUlrich Weidenbacher, Heiko Neumann
Neural Networks : the Official Journal of the International Neural Network Society|March 18, 2014
Interaction of feedforward and feedback streams in visual cortex in a firing-rate model of columnar computationsTobias Brosch, Heiko Neumann
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