Nicolas Schweighofer - Publications

Affiliations: 
University of Southern California, Los Angeles, CA, United States 
Area:
Computational Neuroscience
Website:
http://pt.usc.edu/labs/cnrl

74 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2019 Oh Y, Schweighofer N. Minimizing Precision-Weighted Sensory Prediction Errors via Memory Formation and Switching in Motor Adaptation. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. PMID 31582527 DOI: 10.1523/JNEUROSCI.3250-18.2019  0.96
2019 Winstein C, Kim B, Kim S, Martinez C, Schweighofer N. Dosage Matters. Stroke. STROKEAHA118023603. PMID 31164067 DOI: 10.1161/STROKEAHA.118.023603  0.8
2018 Schweighofer N, Wang C, Mottet D, Laffont I, Bakhti K, Reinkensmeyer DJ, Rémy-Néris O. Correction to: Dissociating motor learning from recovery in exoskeleton training post-stroke. Journal of Neuroengineering and Rehabilitation. 15: 120. PMID 30558647 DOI: 10.1186/s12984-018-0473-9  0.44
2018 Kim S, Park H, Han CE, Winstein CJ, Schweighofer N. Measuring Habitual Arm Use Post-stroke With a Bilateral Time-Constrained Reaching Task. Frontiers in Neurology. 9: 883. PMID 30416480 DOI: 10.3389/fneur.2018.00883  1
2018 Lee K, Oh Y, Izawa J, Schweighofer N. Sensory prediction errors, not performance errors, update memories in visuomotor adaptation. Scientific Reports. 8: 16483. PMID 30405177 DOI: 10.1038/s41598-018-34598-y  0.96
2018 Schweighofer N, Wang C, Mottet D, Laffont I, Bakthi K, Reinkensmeyer DJ, Rémy-Néris O. Dissociating motor learning from recovery in exoskeleton training post-stroke. Journal of Neuroengineering and Rehabilitation. 15: 89. PMID 30290806 DOI: 10.1186/s12984-018-0428-1  0.44
2018 Kim B, Fisher BE, Schweighofer N, Leahy RM, Haldar JP, Choi S, Kay DB, Gordon J, Winstein CJ. A comparison of seven different dti-derived estimates of corticospinal tract structural characteristics in chronic stroke survivors. Journal of Neuroscience Methods. PMID 29684462 DOI: 10.1016/j.jneumeth.2018.04.010  0.6
2017 Park H, Schweighofer N. Nonlinear mixed-effects model reveals a distinction between learning and performance in intensive reach training post-stroke. Journal of Neuroengineering and Rehabilitation. 14: 21. PMID 28302158 DOI: 10.1186/s12984-017-0233-2  0.6
2016 Wang C, Xiao Y, Burdet E, Gordon J, Schweighofer N. The duration of reaching movement is longer than predicted by minimum variance. Journal of Neurophysiology. jn.00148.2016. PMID 27559137 DOI: 10.1152/jn.00148.2016  0.56
2016 Lang EJ, Apps R, Bengtsson F, Cerminara NL, De Zeeuw CI, Ebner TJ, Heck DH, Jaeger D, Jörntell H, Kawato M, Otis TS, Ozyildirim O, Popa LS, Reeves AM, Schweighofer N, et al. The Roles of the Olivocerebellar Pathway in Motor Learning and Motor Control. A Consensus Paper. Cerebellum (London, England). PMID 27193702 DOI: 10.1007/s12311-016-0787-8  1
2016 Reinkensmeyer DJ, Burdet E, Casadio M, Krakauer JW, Kwakkel G, Lang CE, Swinnen SP, Ward NS, Schweighofer N. Computational neurorehabilitation: modeling plasticity and learning to predict recovery. Journal of Neuroengineering and Rehabilitation. 13: 42. PMID 27130577 DOI: 10.1186/s12984-016-0148-3  0.44
2016 Lee JY, Oh Y, Kim SS, Scheidt RA, Schweighofer N. Optimal Schedules in Multitask Motor Learning. Neural Computation. 1-17. PMID 26890347 DOI: 10.1162/NECO_a_00823  0.96
2015 Kim S, Ogawa K, Lv J, Schweighofer N, Imamizu H. Neural Substrates Related to Motor Memory with Multiple Timescales in Sensorimotor Adaptation. Plos Biology. 13: e1002312. PMID 26645916 DOI: 10.1371/journal.pbio.1002312  1
2015 Gueugneau N, Schweighofer N, Papaxanthis C. Daily update of motor predictions by physical activity. Scientific Reports. 5: 17933. PMID 26632341 DOI: 10.1038/srep17933  1
2015 Kim S, Oh Y, Schweighofer N. Between-Trial Forgetting Due to Interference and Time in Motor Adaptation. Plos One. 10: e0142963. PMID 26599075 DOI: 10.1371/journal.pone.0142963  1
2015 Park H, Kim S, Winstein CJ, Gordon J, Schweighofer N. Short-Duration and Intensive Training Improves Long-Term Reaching Performance in Individuals With Chronic Stroke. Neurorehabilitation and Neural Repair. PMID 26405046 DOI: 10.1177/1545968315606990  1
2015 Schweighofer N, Xiao Y, Kim S, Yoshioka T, Gordon J, Osu R. Effort, success, and nonuse determine arm choice. Journal of Neurophysiology. 114: 551-9. PMID 25948869 DOI: 10.1152/jn.00593.2014  0.8
2015 Schweighofer N, Xiao Y, Kim S, Yoshioka T, Gordon J, Osu R. Effort, success, and nonuse determine arm choice Journal of Neurophysiology. 114: 551-559. DOI: 10.1152/jn.00593.2014  1
2014 Bains AS, Schweighofer N. Time-sensitive reorganization of the somatosensory cortex poststroke depends on interaction between Hebbian and homeoplasticity: a simulation study. Journal of Neurophysiology. 112: 3240-50. PMID 25274347 DOI: 10.1152/jn.00433.2013  1
2014 Laffont I, Bakhti K, Coroian F, van Dokkum L, Mottet D, Schweighofer N, Froger J. Innovative technologies applied to sensorimotor rehabilitation after stroke. Annals of Physical and Rehabilitation Medicine. 57: 543-51. PMID 25261273 DOI: 10.1016/j.rehab.2014.08.007  1
2014 Sargent B, Schweighofer N, Kubo M, Fetters L. Infant exploratory learning: influence on leg joint coordination. Plos One. 9: e91500. PMID 24626202 DOI: 10.1371/journal.pone.0091500  1
2013 Schweighofer N, Lang EJ, Kawato M. Role of the olivo-cerebellar complex in motor learning and control. Frontiers in Neural Circuits. 7: 94. PMID 23754983 DOI: 10.3389/fncir.2013.00094  1
2013 Onizuka M, Hoang H, Kawato M, Tokuda IT, Schweighofer N, Katori Y, Aihara K, Lang EJ, Toyama K. 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 : the Official Journal of the International Neural Network Society. 47: 51-63. PMID 23428796 DOI: 10.1016/j.neunet.2013.01.006  1
2013 Han CE, Kim S, Chen S, Lai YH, Lee JY, Osu R, Winstein CJ, Schweighofer N. Quantifying arm nonuse in individuals poststroke. Neurorehabilitation and Neural Repair. 27: 439-47. PMID 23353185 DOI: 10.1177/1545968312471904  1
2013 Tokuda IT, Hoang H, Schweighofer N, Kawato M. Adaptive coupling of inferior olive neurons in cerebellar learning. Neural Networks : the Official Journal of the International Neural Network Society. 47: 42-50. PMID 23337637 DOI: 10.1016/j.neunet.2012.12.006  1
2013 Chen S, Lewthwaite R, Schweighofer N, Winstein CJ. Discriminant validity of a new measure of self-efficacy for reaching movements after stroke-induced hemiparesis. Journal of Hand Therapy : Official Journal of the American Society of Hand Therapists. 26: 116-22; quiz 123. PMID 23123014 DOI: 10.1016/j.jht.2012.09.002  1
2012 Schweighofer N, Choi Y, Winstein C, Gordon J. Task-oriented rehabilitation robotics. American Journal of Physical Medicine & Rehabilitation / Association of Academic Physiatrists. 91: S270-9. PMID 23080042 DOI: 10.1097/PHM.0b013e31826bcd42  1
2012 Hidaka Y, Han CE, Wolf SL, Winstein CJ, Schweighofer N. Use it and improve it or lose it: interactions between arm function and use in humans post-stroke. Plos Computational Biology. 8: e1002343. PMID 22761551 DOI: 10.1371/journal.pcbi.1002343  1
2012 Demoto Y, Okada G, Okamoto Y, Kunisato Y, Aoyama S, Onoda K, Munakata A, Nomura M, Tanaka SC, Schweighofer N, Doya K, Yamawaki S. Neural and personality correlates of individual differences related to the effects of acute tryptophan depletion on future reward evaluation. Neuropsychobiology. 65: 55-64. PMID 22222380 DOI: 10.1159/000328990  1
2012 Liu BJ, Winstein C, Wang X, Konersman M, Martinez C, Schweighofer N. An Imaging Informatics-Based ePR (electronic patient record) System for Providing Decision Support in Evaluating DOSE Optimization in Stroke Rehabilitation Proceedings of Spie - the International Society For Optical Engineering. 8425. DOI: 10.1117/12.912952  1
2011 Schweighofer N, Lee JY, Goh HT, Choi Y, Kim SS, Stewart JC, Lewthwaite R, Winstein CJ. Mechanisms of the contextual interference effect in individuals poststroke. Journal of Neurophysiology. 106: 2632-41. PMID 21832031 DOI: 10.1152/jn.00399.2011  1
2011 Choi Y, Gordon J, Park H, Schweighofer N. Feasibility of the adaptive and automatic presentation of tasks (ADAPT) system for rehabilitation of upper extremity function post-stroke. Journal of Neuroengineering and Rehabilitation. 8: 42. PMID 21813010 DOI: 10.1186/1743-0003-8-42  1
2011 Onoda K, Okamoto Y, Kunisato Y, Aoyama S, Shishida K, Okada G, Tanaka SC, Schweighofer N, Yamaguchi S, Doya K, Yamawaki S. Inter-individual discount factor differences in reward prediction are topographically associated with caudate activation. Experimental Brain Research. 212: 593-601. PMID 21695536 DOI: 10.1007/s00221-011-2771-3  1
2011 Kawato M, Kuroda S, Schweighofer N. Cerebellar supervised learning revisited: biophysical modeling and degrees-of-freedom control. Current Opinion in Neurobiology. 21: 791-800. PMID 21665461 DOI: 10.1016/j.conb.2011.05.014  1
2011 Frey SH, Fogassi L, Grafton S, Picard N, Rothwell JC, Schweighofer N, Corbetta M, Fitzpatrick SM. Neurological principles and rehabilitation of action disorders: computation, anatomy, and physiology (CAP) model. Neurorehabilitation and Neural Repair. 25: 6S-20S. PMID 21613534 DOI: 10.1177/1545968311410940  1
2011 Abe M, Schambra H, Wassermann EM, Luckenbaugh D, Schweighofer N, Cohen LG. Reward improves long-term retention of a motor memory through induction of offline memory gains. Current Biology : Cb. 21: 557-62. PMID 21419628 DOI: 10.1016/j.cub.2011.02.030  1
2011 Qi F, Schweighofer N. Including prior knowledge for accurate and fast motor threshold estimation. Brain Stimulation. 4: 60-1. PMID 21255758 DOI: 10.1016/j.brs.2010.09.005  1
2011 Qi F, Wu AD, Schweighofer N. Fast estimation of transcranial magnetic stimulation motor threshold. Brain Stimulation. 4: 50-7. PMID 21255756 DOI: 10.1016/j.brs.2010.06.002  1
2010 Gentili R, Han CE, Schweighofer N, Papaxanthis C. Motor learning without doing: trial-by-trial improvement in motor performance during mental training. Journal of Neurophysiology. 104: 774-83. PMID 20538766 DOI: 10.1152/jn.00257.2010  1
2010 Tokuda IT, Han CE, Aihara K, Kawato M, Schweighofer N. The role of chaotic resonance in cerebellar learning. Neural Networks : the Official Journal of the International Neural Network Society. 23: 836-42. PMID 20494551 DOI: 10.1016/j.neunet.2010.04.006  1
2010 Callan DE, Schweighofer N. Neural correlates of the spacing effect in explicit verbal semantic encoding support the deficient-processing theory. Human Brain Mapping. 31: 645-59. PMID 19882649 DOI: 10.1002/hbm.20894  1
2009 Tanaka SC, Shishida K, Schweighofer N, Okamoto Y, Yamawaki S, Doya K. Serotonin affects association of aversive outcomes to past actions. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 29: 15669-74. PMID 20016081 DOI: 10.1523/JNEUROSCI.2799-09.2009  1
2009 Schweighofer N, Han CE, Wolf SL, Arbib MA, Winstein CJ. 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-Induced Therapy Evaluation (EXCITE) Trial. Physical Therapy. 89: 1327-36. PMID 19797304 DOI: 10.2522/ptj.20080402  1
2009 Lee JY, Schweighofer N. Dual adaptation supports a parallel architecture of motor memory. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 29: 10396-404. PMID 19692614 DOI: 10.1523/JNEUROSCI.1294-09.2009  1
2009 Choi Y, Gordon J, Kim D, Schweighofer N. An adaptive automated robotic task-practice system for rehabilitation of arm functions after stroke Ieee Transactions On Robotics. 25: 556-568. DOI: 10.1109/TRO.2009.2019787  1
2008 Han CE, Arbib MA, Schweighofer N. Stroke rehabilitation reaches a threshold. Plos Computational Biology. 4: e1000133. PMID 18769588 DOI: 10.1371/journal.pcbi.1000133  1
2008 Choi Y, Qi F, Gordon J, Schweighofer N. Performance-based adaptive schedules enhance motor learning. Journal of Motor Behavior. 40: 273-80. PMID 18628104 DOI: 10.3200/JMBR.40.4.273-280  1
2008 Schweighofer N, Bertin M, Shishida K, Okamoto Y, Tanaka SC, Yamawaki S, Doya K. Low-serotonin levels increase delayed reward discounting in humans. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 28: 4528-32. PMID 18434531 DOI: 10.1523/JNEUROSCI.4982-07.2008  1
2008 Callan DE, Schweighofer N. Positive and negative modulation of word learning by reward anticipation. Human Brain Mapping. 29: 237-49. PMID 17390317 DOI: 10.1002/hbm.20383  1
2008 Choi Y, Gordon J, Schweighofer N. ADAPT - Adaptive automated robotic task practice system for stroke rehabilitation Proceedings - Ieee International Conference On Robotics and Automation. 2471-2476. DOI: 10.1109/ROBOT.2008.4543584  1
2008 Schweighofer N, Bertin M, Shishida K, Okamoto Y, Tanaka SC, Yamawaki S, Doya K. Low-serotonin levels increase delayed reward discounting in humans (Journal of Neuroscience (2008) (4528-4532)) Journal of Neuroscience. 28: 5619.  1
2007 Tanaka SC, Schweighofer N, Asahi S, Shishida K, Okamoto Y, Yamawaki S, Doya K. Serotonin differentially regulates short- and long-term prediction of rewards in the ventral and dorsal striatum. Plos One. 2: e1333. PMID 18091999 DOI: 10.1371/journal.pone.0001333  1
2007 Bertin M, Schweighofer N, Doya K. Multiple model-based reinforcement learning explains dopamine neuronal activity. Neural Networks : the Official Journal of the International Neural Network Society. 20: 668-75. PMID 17611074 DOI: 10.1016/j.neunet.2007.04.028  1
2007 Schweighofer N, Tanaka SC, Doya K. Serotonin and the evaluation of future rewards: theory, experiments, and possible neural mechanisms. Annals of the New York Academy of Sciences. 1104: 289-300. PMID 17360806 DOI: 10.1196/annals.1390.011  1
2007 Choi Y, Cheong SY, Schweighofer N. Local online support vector regression for learning control Proceedings of the 2007 Ieee International Symposium On Computational Intelligence in Robotics and Automation, Cira 2007. 13-18. DOI: 10.1109/CIRA.2007.382883  1
2006 Schweighofer N, Shishida K, Han CE, Okamoto Y, Tanaka SC, Yamawaki S, Doya K. Humans can adopt optimal discounting strategy under real-time constraints. Plos Computational Biology. 2: e152. PMID 17096592 DOI: 10.1371/journal.pcbi.0020152  1
2006 Pozzo T, Papaxanthis C, Petit JL, Schweighofer N, Stucchi N. Kinematic features of movement tunes perception and action coupling. Behavioural Brain Research. 169: 75-82. PMID 16430976 DOI: 10.1016/j.bbr.2005.12.005  1
2005 Schaal S, Schweighofer N. Computational motor control in humans and robots. Current Opinion in Neurobiology. 15: 675-82. PMID 16271466 DOI: 10.1016/j.conb.2005.10.009  1
2004 Schweighofer N, Doya K, Fukai H, Chiron JV, Furukawa T, Kawato M. Chaos may enhance information transmission in the inferior olive. Proceedings of the National Academy of Sciences of the United States of America. 101: 4655-60. PMID 15070773 DOI: 10.1073/pnas.0305966101  1
2004 Schweighofer N, Doya K, Kuroda S. Cerebellar aminergic neuromodulation: towards a functional understanding. Brain Research. Brain Research Reviews. 44: 103-16. PMID 15003388 DOI: 10.1016/j.brainresrev.2003.10.004  1
2003 Schweighofer N, Doya K. Meta-learning in reinforcement learning. Neural Networks : the Official Journal of the International Neural Network Society. 16: 5-9. PMID 12576101 DOI: 10.1016/S0893-6080(02)00228-9  1
2001 Kuroda S, Schweighofer N, Kawato M. Exploration of signal transduction pathways in cerebellar long-term depression by kinetic simulation. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 21: 5693-702. PMID 11466441  1
2001 Schweighofer N, Doya K, Lay F. Unsupervised learning of granule cell sparse codes enhances cerebellar adaptive control. Neuroscience. 103: 35-50. PMID 11311786 DOI: 10.1016/S0306-4522(00)00548-0  1
2000 Schweighofer N, Ferriol G. Diffusion of nitric oxide can facilitate cerebellar learning: A simulation study. Proceedings of the National Academy of Sciences of the United States of America. 97: 10661-5. PMID 10984547  1
2000 Spoelstra J, Schweighofer N, Arbib MA. Cerebellar learning of accurate predictive control for fast-reaching movements. Biological Cybernetics. 82: 321-33. PMID 10804064  1
1999 Schweighofer N, Doya K, Kawato M. Electrophysiological properties of inferior olive neurons: A compartmental model. Journal of Neurophysiology. 82: 804-17. PMID 10444678  1
1999 Spoelstra J, Arbib MA, Schweighofer N. Cerebellar adaptive control of a biomimetic manipulator Neurocomputing. 26: 881-889. DOI: 10.1016/S0925-2312(98)00133-7  1
1998 Schweighofer N, Arbib MA. A model of cerebellar metaplasticity. Learning & Memory (Cold Spring Harbor, N.Y.). 4: 421-8. PMID 10701881  1
1998 Schweighofer N. A model of activity-dependent formation of cerebellar microzones. Biological Cybernetics. 79: 97-107. PMID 9791930  1
1998 Schweighofer N, Spoelstra J, Arbib MA, Kawato M. Role of the cerebellum in reaching movements in humans. II. A neural model of the intermediate cerebellum. The European Journal of Neuroscience. 10: 95-105. PMID 9753117 DOI: 10.1046/j.1460-9568.1998.00007.x  1
1998 Schweighofer N, Arbib MA, Kawato M. Role of the cerebellum in reaching movements in humans. I. Distributed inverse dynamics control. The European Journal of Neuroscience. 10: 86-94. PMID 9753116 DOI: 10.1046/j.1460-9568.1998.00006.x  1
1996 Schweighofer N, Arbib MA, Dominey PF. A model of the cerebellum in adaptive control of saccadic gain. II. Simulation results. Biological Cybernetics. 75: 29-36. PMID 8765654  1
1996 Schweighofer N, Arbib MA, Dominey PF. A model of the cerebellum in adaptive control of saccadic gain. I. The model and its biological substrate. Biological Cybernetics. 75: 19-28. PMID 8765653  1
1995 Arbib MA, Schweighofer N, Thach WT. Chapter 2 Modeling the cerebellum: From adaptation to coordination Advances in Psychology. 111: 11-36. DOI: 10.1016/S0166-4115(06)80005-1  1
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