Nicolas Schweighofer

22 papers A* 1B 1Journal 19Unranked 1
YearRankTypeTitle / Venue / Authors
2024 J jnl
Theoretical limits on the speed of learning inverse models explain the rate of adaptation in arm reaching tasks.
Neural Networks
Victor R. Barradas, Yasuharu Koike, Nicolas Schweighofer
2021 J jnl
Computational reproductions of external force field adaption without assuming desired trajectories.
Neural Networks
Hiroyuki Kambara, Atsushi Takagi, Haruka Shimizu, Toshihiro Kawase, Natsue Yoshimura, Nicolas Schweighofer, Yasuharu Koike
2021 J jnl
Stochastic optimal feedforward-feedback control determines timing and variability of arm movements with or without vision.
PLoS Comput. Biol.
Bastien Berret, Adrien Conessa, Nicolas Schweighofer, Etienne Burdet
2020 J jnl
Electrical coupling controls dimensionality and chaotic firing of inferior olive neurons.
PLoS Comput. Biol.
Huu Hoang, Eric J. Lang, Yoshito Hirata, Isao T. Tokuda, Kazuyuki Aihara, Keisuke Toyama, Mitsuo Kawato, Nicolas Schweighofer
2016 J jnl
Optimal Schedules in Multitask Motor Learning.
Neural Comput.
Jeong-Yoon Lee, Youngmin Oh, Sung Shin Kim, Robert A. Scheidt, Nicolas Schweighofer
2013 J jnl
Adaptive coupling of inferior olive neurons in cerebellar learning.
Neural Networks
Isao T. Tokuda, Huu Hoang, Nicolas Schweighofer, Mitsuo Kawato
2013 J jnl
Solution to the inverse problem of estimating gap-junctional and inhibitory conductance in inferior olive neurons from spike trains by network model simulation.
Neural Networks
Miho Onizuka, Huu Hoang, Mitsuo Kawato, Isao T. Tokuda, Nicolas Schweighofer, Yuichi Katori, Kazuyuki Aihara, Eric J. Lang, Keisuke Toyama
2012 J jnl
Use It and Improve It or Lose It: Interactions between Arm Function and Use in Humans Post-stroke.
PLoS Comput. Biol.
Yukikazu Hidaka, Cheol E. Han, Steven L. Wolf, Carolee J. Winstein, Nicolas Schweighofer
2010 J jnl
The role of chaotic resonance in cerebellar learning.
Neural Networks
Isao T. Tokuda, Cheol E. Han, Kazuyuki Aihara, Mitsuo Kawato, Nicolas Schweighofer
2009 J jnl
An Adaptive Automated Robotic Task-Practice System for Rehabilitation of Arm Functions After Stroke.
IEEE Trans. Robotics
Younggeun Choi, James Gordon, Duckho Kim, Nicolas Schweighofer
2008 A* conf
ADAPT - adaptive automated robotic task practice system for stroke rehabilitation.
ICRA
Younggeun Choi, James Gordon, Nicolas Schweighofer
2008 J jnl
Stroke Rehabilitation Reaches a Threshold.
PLoS Comput. Biol.
Cheol E. Han, Michael A. Arbib, Nicolas Schweighofer
2007 — conf
Local Online Support Vector Regression for Learning Control.
CIRA
Younggeun Choi, Shin-Young Cheong, Nicolas Schweighofer
2007 J jnl
Multiple model-based reinforcement learning explains dopamine neuronal activity.
Neural Networks
Mathieu Bertin, Nicolas Schweighofer, Kenji Doya
2006 J jnl
Humans Can Adopt Optimal Discounting Strategy under Real-Time Constraints.
PLoS Comput. Biol.
Nicolas Schweighofer, K. Shishida, Cheol E. Han, Yasumasa Okamoto, Saori C. Tanaka, Shigeto Yamawaki, Kenji Doya
2003 J jnl
Meta-learning in Reinforcement Learning.
Neural Networks
Nicolas Schweighofer, Kenji Doya
2000 J jnl
Cerebellar learning of accurate predictive control for fast-reaching movements.
Biol. Cybern.
Jacob Spoelstra, Nicolas Schweighofer, Michael A. Arbib
1999 J jnl
Cerebellar adaptive control of a biomimetic manipulator.
Neurocomputing
Jacob Spoelstra, Michael A. Arbib, Nicolas Schweighofer
1998 B conf
A Model of the Electrophysiological Properties of the Inferior Olive Neurons.
ICONIP
Nicolas Schweighofer, Kenji Doya, Mitsuo Kawato
1998 J jnl
A model of activity-dependent formation of cerebellar microzones.
Biol. Cybern.
Nicolas Schweighofer
1996 J jnl
A model of the cerebellum in adaptive control of saccadic gain.
Biol. Cybern.
Nicolas Schweighofer, Michael A. Arbib, Peter Ford Dominey
1996 J jnl
A model of the cerebellum in adaptive control of saccadic gain.
Biol. Cybern.
Nicolas Schweighofer, Michael A. Arbib, Peter Ford Dominey