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Pierre Bayerl
Heiko Neumann

Neural computation

Showing results (1-10 of 5) with videos related to

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Neural Computation|August 31, 2004
Disambiguating visual motion through contextual feedback modulationPierre Bayerl, Heiko Neumann
Neural Computation|September 24, 2014
Computing with a canonical neural circuits model with pool normalization and modulating feedbackTobias Brosch, Heiko Neumann
Neural Computation|April 9, 2004
Neural mechanisms for the robust representation of junctionsThorsten Hansen, Heiko Neumann
Neural Computation|August 20, 2011
A model of motion transparency processing with local center-surround interactions and feedbackFlorian Raudies, Ennio Mingolla, 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
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
Neural Computation|August 31, 2004
Disambiguating visual motion through contextual feedback modulationPierre Bayerl, Heiko Neumann
Neural Computation|September 24, 2014
Computing with a canonical neural circuits model with pool normalization and modulating feedbackTobias Brosch, Heiko Neumann
Neural Computation|April 9, 2004
Neural mechanisms for the robust representation of junctionsThorsten Hansen, Heiko Neumann
Neural Computation|August 20, 2011
A model of motion transparency processing with local center-surround interactions and feedbackFlorian Raudies, Ennio Mingolla, 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
Pageof 1