A model of the cerebellum in adaptive control of saccadic gain. - Nicolas Schweighofer; Michael A. Arbib; Peter Ford Dominey (Biol. Cybern., 1996)

A Model of the Electrophysiological Properties of the Inferior Olive Neurons. - Nicolas Schweighofer; Kenji Doya; Mitsuo Kawato (ICONIP, 1998)

A model of activity-dependent formation of cerebellar microzones. - Nicolas Schweighofer (Biol. Cybern., 1998)

Cerebellar adaptive control of a biomimetic manipulator. - Jacob Spoelstra; Michael A. Arbib; Nicolas Schweighofer (Neurocomputing, 1999)

Cerebellar learning of accurate predictive control for fast-reaching movements. - Jacob Spoelstra; Nicolas Schweighofer; Michael A. Arbib (Biol. Cybern., 2000)

Meta-learning in Reinforcement Learning. - Nicolas Schweighofer; Kenji Doya (Neural Networks, 2003)

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)

Local Online Support Vector Regression for Learning Control. - Younggeun Choi 001; Shin-Young Cheong; Nicolas Schweighofer (CIRA, 2007)

Multiple model-based reinforcement learning explains dopamine neuronal activity. - Mathieu Bertin; Nicolas Schweighofer; Kenji Doya (Neural Networks, 2007)

ADAPT - adaptive automated robotic task practice system for stroke rehabilitation. - Younggeun Choi 001; James Gordon; Nicolas Schweighofer (ICRA, 2008)

Stroke Rehabilitation Reaches a Threshold. - Cheol E. Han; Michael A. Arbib; Nicolas Schweighofer (PLoS Comput. Biol., 2008)

An Adaptive Automated Robotic Task-Practice System for Rehabilitation of Arm Functions After Stroke. - Younggeun Choi 001; James Gordon; Duckho Kim; Nicolas Schweighofer (IEEE Trans. Robotics, 2009)

The role of chaotic resonance in cerebellar learning. - Isao T. Tokuda; Cheol E. Han; Kazuyuki Aihara; Mitsuo Kawato; Nicolas Schweighofer (Neural Networks, 2010)

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)

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 001 (Neural Networks, 2013)

Adaptive coupling of inferior olive neurons in cerebellar learning. - Isao T. Tokuda; Huu Hoang; Nicolas Schweighofer; Mitsuo Kawato (Neural Networks, 2013)

Optimal Schedules in Multitask Motor Learning. - Jeong-Yoon Lee; Youngmin Oh; Sung Shin Kim; Robert A. Scheidt; Nicolas Schweighofer (Neural Comput., 2016)

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 001; Mitsuo Kawato; Nicolas Schweighofer (PLoS Comput. Biol., 2020)

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)

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)

Theoretical limits on the speed of learning inverse models explain the rate of adaptation in arm reaching tasks. - Victor R. Barradas; Yasuharu Koike; Nicolas Schweighofer (Neural Networks, 2024)