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Plos Computational Biology|November 11, 2024
Teaching deep networks to see shape: Lessons from a simplified visual worldChristian Jarvers, 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
Neural Networks : the Official Journal of the International Neural Network Society|November 26, 2009
A neural model of the temporal dynamics of figure-ground segregation in motion perceptionFlorian Raudies, 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
Bio Systems|February 7, 2007
A neural model of feature attention in motion perceptionPierre Bayerl, Heiko Neumann
Frontiers in Psychology|September 14, 2018
Points and Stripes: A Novel Technique for Masking Biological Motion Point-Light StimuliGeorg Layher, Heiko Neumann
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