Nicolas Schweighofer

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Carolee J. WinsteinProfessor of Biokinesiology, University of Southern CaliforniaE-mail confirmado em usc.edu
Kenji DoyaOkinawa Institute of Science and TechnologyE-mail confirmado em oist.jp
Mitsuo KawatoATRE-mail confirmado em atr.jp
Michael ArbibUniversity of California at San DiegoE-mail confirmado em usc.edu
Cheol E. HanProfessor, Dept of Electronics and Information Engineering, Korea University, SejongE-mail confirmado em korea.ac.kr
James GordonProfessor of Biokinesiology & Physical TherapyE-mail confirmado em usc.edu
Sujin KimJeonju UniversityE-mail confirmado em jj.ac.kr
James FinleyAssociate Professor of Biokinesiology and Physical Therapy, University of Southern CaliforniaE-mail confirmado em usc.edu
David ReinkensmeyerProfessor, Engineering and Neuroscience, University of California at IrvineE-mail confirmado em uci.edu
Youngmin OhGachon UniversityE-mail confirmado em gachon.ac.kr
Sungshin KimHanyang UniversityE-mail confirmado em hanyang.ac.kr
Denis MottetEuroMov Digital Health in Motion, Univ Montpellier IMT Mines Alès, Montpellier, FranceE-mail confirmado em umontpellier.fr
Steven WolfEmory University School of MedicineE-mail confirmado em emory.edu
Eric J. LangAssociate Professor of Neuroscience & Physiology, New York University, School of MedicineE-mail confirmado em nyumc.org
Laffont IsabellePRM Department, Montpellier University Hospital, Euromov Digital Health in Motion, MontpellierE-mail confirmado em umontpellier.fr
Sook-Lei LiewUniversity of Southern CaliforniaE-mail confirmado em usc.edu
Rieko OsuWaseda UniversityE-mail confirmado em waseda.jp
Leonardo G CohenHuman Cortical Physiology and Neurorehabilitation Section, National Institutes of Health, NIHE-mail confirmado em ninds.nih.gov
Daniel CallanChief Researcher, Brain Information Communication Research Laboratories, ATRE-mail confirmado em atr.jp
Victor R. BarradasTokyo Institute of TechnologyE-mail confirmado em m.titech.ac.jp

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Nicolas Schweighofer

Professor, University of Southern California

E-mail confirmado em usc.edu - Página inicial

Computational Neuroscience Neurorehabilitation Motor Control and Learning Statistical Learning


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
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	411	2011
Meta-learning in reinforcement learning N Schweighofer, K Doya Neural Networks 16 (1), 5-9, 2003	331	2003
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	326	2008
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	307	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	259	2010
Dual adaptation supports a parallel architecture of motor memory JY Lee, N Schweighofer Journal of Neuroscience 29 (33), 10396-10404, 2009	234	2009
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	215	2016
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	204	2007
Stroke rehabilitation reaches a threshold CE Han, MA Arbib, N Schweighofer PLoS computational biology 4 (8), e1000133, 2008	201	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	193	1998
Cerebellar aminergic neuromodulation: towards a functional understanding N Schweighofer, K Doya, S Kuroda Brain Research Reviews 44 (2-3), 103-116, 2004	172	2004
Unsupervised learning of granule cell sparse codes enhances cerebellar adaptive control N Schweighofer, K Doya, F Lay Neuroscience 103 (1), 35-50, 2001	154	2001
Computational motor control in humans and robots S Schaal, N Schweighofer Current Opinion in Neurobiology 15 (6), 675-682, 2005	147	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	144	2004
Electrophysiological properties of inferior olive neurons: a compartmental model N Schweighofer, K Doya, M Kawato Journal of neurophysiology 82 (2), 804-817, 1999	143	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	140	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	138	2009
Task-oriented training to promote upper extremity recovery CJ Winstein, SL Wolf, N Schweighofer Stroke recovery and rehabilitation 2, 320-343, 2008	124	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	122	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	118	2003

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