Nicolas Schweighofer
Title
Cited by
Cited by
Year
Role of the cerebellum in reaching movements in humans. I. Distributed inverse dynamics control
N Schweighofer, MA Arbib, M Kawato
European Journal of Neuroscience 10 (1), 86-94, 1998
2691998
Low-serotonin levels increase delayed reward discounting in humans
N Schweighofer, M Bertin, K Shishida, Y Okamoto, SC Tanaka, ...
Journal of Neuroscience 28 (17), 4528-4532, 2008
2682008
Reward improves long-term retention of a motor memory through induction of offline memory gains
M Abe, H Schambra, EM Wassermann, D Luckenbaugh, N Schweighofer, ...
Current Biology 21 (7), 557-562, 2011
2222011
Motor learning without doing: trial-by-trial improvement in motor performance during mental training
R Gentili, CE Han, N Schweighofer, C Papaxanthis
Journal of neurophysiology 104 (2), 774-783, 2010
1812010
Role of the cerebellum in reaching movements in humans. II. A neural model of the intermediate cerebellum
N Schweighofer, J Spoelstra, MA Arbib, M Kawato
European Journal of Neuroscience 10 (1), 95-105, 1998
1791998
Meta-learning in reinforcement learning
N Schweighofer, K Doya
Neural Networks 16 (1), 5-9, 2003
1782003
Dual adaptation supports a parallel architecture of motor memory
JY Lee, N Schweighofer
Journal of Neuroscience 29 (33), 10396-10404, 2009
1722009
Serotonin differentially regulates short-and long-term prediction of rewards in the ventral and dorsal striatum
SC Tanaka, N Schweighofer, S Asahi, K Shishida, Y Okamoto, ...
PloS one 2 (12), e1333, 2007
1722007
Cerebellar aminergic neuromodulation: towards a functional understanding
N Schweighofer, K Doya, S Kuroda
Brain Research Reviews 44 (2-3), 103-116, 2004
1402004
Stroke rehabilitation reaches a threshold
CE Han, MA Arbib, N Schweighofer
PLoS computational biology 4 (8), e1000133, 2008
1342008
Electrophysiological properties of inferior olive neurons: a compartmental model
N Schweighofer, K Doya, M Kawato
Journal of neurophysiology 82 (2), 804-817, 1999
1241999
Exploration of signal transduction pathways in cerebellar long-term depression by kinetic simulation
S Kuroda, N Schweighofer, M Kawato
Journal of Neuroscience 21 (15), 5693-5702, 2001
1232001
Computational motor control in humans and robots
S Schaal, N Schweighofer
Current Opinion in Neurobiology 15 (6), 675-682, 2005
1222005
Unsupervised learning of granule cell sparse codes enhances cerebellar adaptive control
N Schweighofer, K Doya, F Lay
Neuroscience 103 (1), 35-50, 2001
1202001
Chaos may enhance information transmission in the inferior olive
N Schweighofer, K Doya, H Fukai, JV Chiron, T Furukawa, M Kawato
Proceedings of the National Academy of Sciences 101 (13), 4655-4660, 2004
1172004
Humans can adopt optimal discounting strategy under real-time constraints
N Schweighofer, K Shishida, CE Han, Y Okamoto, SC Tanaka, ...
PLoS Comput Biol 2 (11), e152, 2006
1022006
Computational neurorehabilitation: modeling plasticity and learning to predict recovery
DJ Reinkensmeyer, E Burdet, M Casadio, JW Krakauer, G Kwakkel, ...
Journal of neuroengineering and rehabilitation 13 (1), 42, 2016
1012016
A model of the cerebellum in adaptive control of saccadic gain
N Schweighofer, MA Arbib, PF Dominey
Biological cybernetics 75 (1), 19-28, 1996
961996
System, apparatus and method for maximizing effectiveness and efficiency of learning, retaining and retrieving knowledge and skills
G Ferriol, N Schweighofer, AS Lewis
US Patent App. 10/012,521, 2003
952003
Task-oriented training to promote upper extremity recovery
CJ Winstein, SL Wolf, N Schweighofer
Stroke recovery and rehabilitation 2, 320-343, 2008
882008
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