Nicolas Schweighofer

According to our database, Nicolas Schweighofer authored at least 20 papers between 1996 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

Stochastic optimal feedforward-feedback control determines timing and variability of arm movements with or without vision.

Bastien Berret, Adrien Conessa, Nicolas Schweighofer, Etienne Burdet

PLoS Comput. Biol., 2021

Computational reproductions of external force field adaption without assuming desired trajectories.

Hiroyuki Kambara, Atsushi Takagi, Haruka Shimizu, Toshihiro Kawase, Natsue Yoshimura, Nicolas Schweighofer, Yasuharu Koike

Neural Networks, 2021

2020

Electrical coupling controls dimensionality and chaotic firing of inferior olive neurons.

Huu Hoang, Eric J. Lang, Yoshito Hirata, Isao T. Tokuda, Kazuyuki Aihara, Keisuke Toyama, Mitsuo Kawato, Nicolas Schweighofer

PLoS Comput. Biol., 2020

2016

Optimal Schedules in Multitask Motor Learning.

Jeong-Yoon Lee, Youngmin Oh, Sung Shin Kim, Robert A. Scheidt, Nicolas Schweighofer

Neural Comput., 2016

2013

Adaptive coupling of inferior olive neurons in cerebellar learning.

Isao T. Tokuda, Huu Hoang, Nicolas Schweighofer, Mitsuo Kawato

Neural Networks, 2013

Solution to the inverse problem of estimating gap-junctional and inhibitory conductance in inferior olive neurons from spike trains by network model simulation.

Miho Onizuka, Huu Hoang, Mitsuo Kawato, Isao T. Tokuda, Nicolas Schweighofer, Yuichi Katori, Kazuyuki Aihara, Eric J. Lang, Keisuke Toyama

Neural Networks, 2013

2012

Use It and Improve It or Lose It: Interactions between Arm Function and Use in Humans Post-stroke.

Yukikazu Hidaka, Cheol E. Han, Steven L. Wolf, Carolee J. Winstein, Nicolas Schweighofer

PLoS Comput. Biol., 2012

2010

The role of chaotic resonance in cerebellar learning.

Isao T. Tokuda, Cheol E. Han, Kazuyuki Aihara, Mitsuo Kawato, Nicolas Schweighofer

Neural Networks, 2010

2009

An Adaptive Automated Robotic Task-Practice System for Rehabilitation of Arm Functions After Stroke.

Younggeun Choi, James Gordon, Duckho Kim, Nicolas Schweighofer

IEEE Trans. Robotics, 2009

2008

Stroke Rehabilitation Reaches a Threshold.

Cheol E. Han, Michael A. Arbib, Nicolas Schweighofer

PLoS Comput. Biol., 2008

ADAPT - adaptive automated robotic task practice system for stroke rehabilitation.

Younggeun Choi, James Gordon, Nicolas Schweighofer

Proceedings of the 2008 IEEE International Conference on Robotics and Automation, 2008

2007

Multiple model-based reinforcement learning explains dopamine neuronal activity.

Mathieu Bertin, Nicolas Schweighofer, Kenji Doya

Neural Networks, 2007

Local Online Support Vector Regression for Learning Control.

Younggeun Choi, Shin-Young Cheong, Nicolas Schweighofer

Proceedings of the 7th IEEE International Symposium on Computational Intelligence in Robotics and Automation, 2007

2006

Humans Can Adopt Optimal Discounting Strategy under Real-Time Constraints.

Nicolas Schweighofer, K. Shishida, Cheol E. Han, Yasumasa Okamoto, Saori C. Tanaka, Shigeto Yamawaki, Kenji Doya

PLoS Comput. Biol., 2006

2003

Meta-learning in Reinforcement Learning.

Nicolas Schweighofer, Kenji Doya

Neural Networks, 2003

2000

Cerebellar learning of accurate predictive control for fast-reaching movements.

Jacob Spoelstra, Nicolas Schweighofer, Michael A. Arbib

Biol. Cybern., 2000

1999

Cerebellar adaptive control of a biomimetic manipulator.

Jacob Spoelstra, Michael A. Arbib, Nicolas Schweighofer

Neurocomputing, 1999

1998

A model of activity-dependent formation of cerebellar microzones.

Nicolas Schweighofer

Biol. Cybern., 1998

A Model of the Electrophysiological Properties of the Inferior Olive Neurons.

Nicolas Schweighofer, Kenji Doya, Mitsuo Kawato

Proceedings of the Fifth International Conference on Neural Information Processing, 1998

1996

A model of the cerebellum in adaptive control of saccadic gain.

Nicolas Schweighofer, Michael A. Arbib, Peter Ford Dominey

Biol. Cybern., 1996