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N Schweighofer

Showing results (1-10 of 21) with videos related to

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Biological Cybernetics|October 29, 1998
A model of activity-dependent formation of cerebellar microzonesN Schweighofer
Proceedings of the National Academy of Sciences of the United States of America|September 14, 2000
Diffusion of nitric oxide can facilitate cerebellar learning: A simulation studyN Schweighofer, G Ferriol
Learning & Memory (Cold Spring Harbor, N.Y.)|March 4, 2000
A model of cerebellar metaplasticityN Schweighofer, M A Arbib
Neuroscience|April 20, 2001
Unsupervised learning of granule cell sparse codes enhances cerebellar adaptive controlN Schweighofer, K Doya, F Lay
Journal of Neurophysiology|August 13, 1999
Electrophysiological properties of inferior olive neurons: A compartmental modelN Schweighofer, K Doya, M Kawato
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|July 24, 2001
Exploration of signal transduction pathways in cerebellar long-term depression by kinetic simulationS Kuroda, N Schweighofer, M Kawato
Biological Cybernetics|May 10, 2000
Cerebellar learning of accurate predictive control for fast-reaching movementsJ Spoelstra, N Schweighofer, M A Arbib
The European Journal of Neuroscience|September 30, 1998
Role of the cerebellum in reaching movements in humans. I. Distributed inverse dynamics controlN Schweighofer, M A Arbib, M Kawato
Biological Cybernetics|July 1, 1996
A model of the cerebellum in adaptive control of saccadic gain. II. Simulation resultsN Schweighofer, M A Arbib, P F Dominey
Biological Cybernetics|July 1, 1996
A model of the cerebellum in adaptive control of saccadic gain. I. The model and its biological substrateN Schweighofer, M A Arbib, P F Dominey
Pageof 3

Showing results (1-10 of 21) with videos related to

Sort By:
Pageof 3
Biological Cybernetics|October 29, 1998
A model of activity-dependent formation of cerebellar microzonesN Schweighofer
Proceedings of the National Academy of Sciences of the United States of America|September 14, 2000
Diffusion of nitric oxide can facilitate cerebellar learning: A simulation studyN Schweighofer, G Ferriol
Learning & Memory (Cold Spring Harbor, N.Y.)|March 4, 2000
A model of cerebellar metaplasticityN Schweighofer, M A Arbib
Neuroscience|April 20, 2001
Unsupervised learning of granule cell sparse codes enhances cerebellar adaptive controlN Schweighofer, K Doya, F Lay
Journal of Neurophysiology|August 13, 1999
Electrophysiological properties of inferior olive neurons: A compartmental modelN Schweighofer, K Doya, M Kawato
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|July 24, 2001
Exploration of signal transduction pathways in cerebellar long-term depression by kinetic simulationS Kuroda, N Schweighofer, M Kawato
Biological Cybernetics|May 10, 2000
Cerebellar learning of accurate predictive control for fast-reaching movementsJ Spoelstra, N Schweighofer, M A Arbib
The European Journal of Neuroscience|September 30, 1998
Role of the cerebellum in reaching movements in humans. I. Distributed inverse dynamics controlN Schweighofer, M A Arbib, M Kawato
Biological Cybernetics|July 1, 1996
A model of the cerebellum in adaptive control of saccadic gain. II. Simulation resultsN Schweighofer, M A Arbib, P F Dominey
Biological Cybernetics|July 1, 1996
A model of the cerebellum in adaptive control of saccadic gain. I. The model and its biological substrateN Schweighofer, M A Arbib, P F Dominey
Pageof 3