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Heiko Hoffmann

Showing results (1-10 of 11) with videos related to

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Journal of Computational Neuroscience|September 28, 2024
Computational model of layer 2/3 in mouse primary visual cortex explains observed visuomotor mismatch responseHeiko Hoffmann
Experimental Brain Research|November 4, 2010
Target switching in curved human arm movements is predicted by changing a single control parameterHeiko Hoffmann
Physical Review. E|March 18, 2018
Impact of network topology on self-organized criticalityHeiko Hoffmann
Neural Computation|March 19, 2019
Sparse Associative MemoryHeiko Hoffmann
Neural Networks : the Official Journal of the International Neural Network Society|October 3, 2006
Perception through visuomotor anticipation in a mobile robotHeiko Hoffmann
Scientific Reports|February 7, 2018
Optimization by Self-Organized CriticalityHeiko Hoffmann, David W Payton
Biological Cybernetics|July 20, 2005
Learning visuomotor transformations for gaze-control and graspingHeiko Hoffmann, Wolfram Schenck, Ralf Möller
Neural Computation|November 15, 2012
Dynamical movement primitives: learning attractor models for motor behaviorsAuke Jan Ijspeert, Jun Nakanishi, Heiko Hoffmann, et al.
IEEE Reviews in Biomedical Engineering|June 21, 2011
Computational Models for Neuromuscular FunctionFrancisco J Valero-Cuevas, Heiko Hoffmann, Manish U Kurse, et al.
Cell Cycle (Georgetown, Tex.)|October 4, 2012
B-Myb promotes S-phase independently of its sequence-specific DNA binding activity and interacts with polymerase delta-interacting protein 1 (Pdip1)Eugen Werwein, Thore Schmedt, Heiko Hoffmann, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
Journal of Computational Neuroscience|September 28, 2024
Computational model of layer 2/3 in mouse primary visual cortex explains observed visuomotor mismatch responseHeiko Hoffmann
Experimental Brain Research|November 4, 2010
Target switching in curved human arm movements is predicted by changing a single control parameterHeiko Hoffmann
Physical Review. E|March 18, 2018
Impact of network topology on self-organized criticalityHeiko Hoffmann
Neural Computation|March 19, 2019
Sparse Associative MemoryHeiko Hoffmann
Neural Networks : the Official Journal of the International Neural Network Society|October 3, 2006
Perception through visuomotor anticipation in a mobile robotHeiko Hoffmann
Scientific Reports|February 7, 2018
Optimization by Self-Organized CriticalityHeiko Hoffmann, David W Payton
Biological Cybernetics|July 20, 2005
Learning visuomotor transformations for gaze-control and graspingHeiko Hoffmann, Wolfram Schenck, Ralf Möller
Neural Computation|November 15, 2012
Dynamical movement primitives: learning attractor models for motor behaviorsAuke Jan Ijspeert, Jun Nakanishi, Heiko Hoffmann, et al.
IEEE Reviews in Biomedical Engineering|June 21, 2011
Computational Models for Neuromuscular FunctionFrancisco J Valero-Cuevas, Heiko Hoffmann, Manish U Kurse, et al.
Cell Cycle (Georgetown, Tex.)|October 4, 2012
B-Myb promotes S-phase independently of its sequence-specific DNA binding activity and interacts with polymerase delta-interacting protein 1 (Pdip1)Eugen Werwein, Thore Schmedt, Heiko Hoffmann, et al.
Pageof 2