Nicolas Schweighofer
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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
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
Meta-learning in reinforcement learning
N Schweighofer, K Doya
Neural Networks 16 (1), 5-9, 2003
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
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
Dual adaptation supports a parallel architecture of motor memory
JY Lee, N Schweighofer
Journal of Neuroscience 29 (33), 10396-10404, 2009
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
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, 1-25, 2016
Stroke rehabilitation reaches a threshold
CE Han, MA Arbib, N Schweighofer
PLoS computational biology 4 (8), e1000133, 2008
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
Cerebellar aminergic neuromodulation: towards a functional understanding
N Schweighofer, K Doya, S Kuroda
Brain Research Reviews 44 (2-3), 103-116, 2004
Unsupervised learning of granule cell sparse codes enhances cerebellar adaptive control
N Schweighofer, K Doya, F Lay
Neuroscience 103 (1), 35-50, 2001
Computational motor control in humans and robots
S Schaal, N Schweighofer
Current Opinion in Neurobiology 15 (6), 675-682, 2005
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
Electrophysiological properties of inferior olive neurons: a compartmental model
N Schweighofer, K Doya, M Kawato
Journal of neurophysiology 82 (2), 804-817, 1999
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
A functional threshold for long-term use of hand and arm function can be determined: predictions from a computational model and supporting data from the Extremity Constraint …
N Schweighofer, CE Han, SL Wolf, MA Arbib, CJ Winstein
Physical therapy 89 (12), 1327-1336, 2009
Task-oriented training to promote upper extremity recovery
CJ Winstein, SL Wolf, N Schweighofer
Stroke recovery and rehabilitation 2, 320-343, 2008
The roles of the olivocerebellar pathway in motor learning and motor control. A consensus paper
EJ Lang, R Apps, F Bengtsson, NL Cerminara, CI De Zeeuw, TJ Ebner, ...
The Cerebellum 16 (1), 230-252, 2017
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
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