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Nicolas Schweighofer, MS, PhD

TitleAssociate Professor
InstitutionUniversity of Southern California
DepartmentBiokinesiology and Physical Therapy
AddressCHP 155
Health Sciences Campus
Los Angeles CA 90089-9006
Phone+1 323 442 1838
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    Collapse Overview 
    Collapse Overview
    The goal of the work on neuro-computational models is to understand the neural bases of motor learning. We are notably investigating motor plasticity in the cerebellum, cortical map plasticity and reorganization in the sensorimotor cortex, multiple task learning, and adaptive decision-making during motor learning in healthy and lesioned brains. When appropriate, we test our predictions by conducting behavioral and/or brain imaging (fMRI and TMS) experiments either at USC or with our collaborators at ATR in Japan or at INSERM in France.

    The goal of the work on learning optimization is to enhance re-learning of motor skills in patients with stroke. Despite great progress in psychology and neuroscience, physical therapists treating patients with stroke rely on non-specific guidelines to determine task practice schedules for functional motor skill re-acquisition. Using algorithms that combine neuroscience-based models and artificial intelligence, we aim at defining and testing adaptive practice schedules, with particular emphasis on the micro-schedules of the practice.


    Collapse Research 
    Collapse Research Activities and Funding
    Optimizing sensori-motor training post-stroke
    NIH/NINDS R56NS100528Sep 28, 2017 - Jul 31, 2018
    Role: Principal Investigator
    Optimizing the Dose of Rehabilitation After Stroke
    NIH/NICHD R01HD065438Jan 10, 2011 - Dec 31, 2015
    Role: Principal Investigator
    Task Practice Schedules to Enhance Recovery after Stroke
    NIH/NICHD R03HD050591Jul 1, 2005 - Jun 30, 2008
    Role: Principal Investigator

    Collapse Bibliographic 
    Collapse Publications
    Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Researchers can login to make corrections and additions, or contact us for help.
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    1. 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. J Neurosci Methods. 2018 Apr 21; 304:66-75. PMID: 29684462.
      View in: PubMed
    2. Park H, Schweighofer N. Nonlinear mixed-effects model reveals a distinction between learning and performance in intensive reach training post-stroke. J Neuroeng Rehabil. 2017 Mar 17; 14(1):21. PMID: 28302158.
      View in: PubMed
    3. Lang EJ, Apps R, Bengtsson F, Cerminara NL, De Zeeuw CI, Ebner TJ, Heck DH, Jaeger D, J├Ârntell H, Kawato M, Otis TS, Ozyildirim O, Popa LS, Reeves AM, Schweighofer N, Sugihara I, Xiao J. The Roles of the Olivocerebellar Pathway in Motor Learning and Motor Control. A Consensus Paper. Cerebellum. 2017 Feb; 16(1):230-252. PMID: 27193702.
      View in: PubMed
    4. Wang C, Xiao Y, Burdet E, Gordon J, Schweighofer N. The duration of reaching movement is longer than predicted by minimum variance. J Neurophysiol. 2016 Nov 01; 116(5):2342-2345. PMID: 27559137.
      View in: PubMed
    5. 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. J Neuroeng Rehabil. 2016 04 30; 13(1):42. PMID: 27130577; PMCID: PMC4851823.
    6. Lee JY, Oh Y, Kim SS, Scheidt RA, Schweighofer N. Optimal Schedules in Multitask Motor Learning. Neural Comput. 2016 Apr; 28(4):667-85. PMID: 26890347.
      View in: PubMed
    7. Kim S, Ogawa K, Lv J, Schweighofer N, Imamizu H. Neural Substrates Related to Motor Memory with Multiple Timescales in Sensorimotor Adaptation. PLoS Biol. 2015 Dec; 13(12):e1002312. PMID: 26645916.
      View in: PubMed
    8. Gueugneau N, Schweighofer N, Papaxanthis C. Daily update of motor predictions by physical activity. Sci Rep. 2015 Dec 03; 5:17933. PMID: 26632341; PMCID: PMC4668580.
    9. Kim S, Oh Y, Schweighofer N. Between-Trial Forgetting Due to Interference and Time in Motor Adaptation. PLoS One. 2015; 10(11):e0142963. PMID: 26599075; PMCID: PMC4657926.
    10. Schweighofer N, Xiao Y, Kim S, Yoshioka T, Gordon J, Osu R. Effort, success, and nonuse determine arm choice. J Neurophysiol. 2015 Jul; 114(1):551-9. PMID: 25948869; PMCID: PMC4509397.
    11. Bains AS, Schweighofer N. Time-sensitive reorganization of the somatosensory cortex poststroke depends on interaction between Hebbian and homeoplasticity: a simulation study. J Neurophysiol. 2014 Dec 15; 112(12):3240-50. PMID: 25274347; PMCID: PMC4269712.
    12. Sargent B, Schweighofer N, Kubo M, Fetters L. Infant exploratory learning: influence on leg joint coordination. PLoS One. 2014; 9(3):e91500. PMID: 24626202; PMCID: PMC3953400.
    13. Schweighofer N, Lang EJ, Kawato M. Role of the olivo-cerebellar complex in motor learning and control. Front Neural Circuits. 2013; 7:94. PMID: 23754983; PMCID: PMC3664774.
    14. 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 Netw. 2013 Nov; 47:51-63. PMID: 23428796.
      View in: PubMed
    15. Han CE, Kim S, Chen S, Lai YH, Lee JY, Osu R, Winstein CJ, Schweighofer N. Quantifying arm nonuse in individuals poststroke. Neurorehabil Neural Repair. 2013 Jun; 27(5):439-47. PMID: 23353185; PMCID: PMC3922644.
    16. Tokuda IT, Hoang H, Schweighofer N, Kawato M. Adaptive coupling of inferior olive neurons in cerebellar learning. Neural Netw. 2013 Nov; 47:42-50. PMID: 23337637.
      View in: PubMed
    17. Chen S, Lewthwaite R, Schweighofer N, Winstein CJ. Discriminant validity of a new measure of self-efficacy for reaching movements after stroke-induced hemiparesis. J Hand Ther. 2013 Apr-Jun; 26(2):116-22; quiz 123. PMID: 23123014.
      View in: PubMed
    18. Schweighofer N, Choi Y, Winstein C, Gordon J. Task-oriented rehabilitation robotics. Am J Phys Med Rehabil. 2012 Nov; 91(11 Suppl 3):S270-9. PMID: 23080042.
      View in: PubMed
    19. 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 Comput Biol. 2012 Feb; 8(2):e1002343. PMID: 22761551; PMCID: PMC3385844.
    20. 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. 2012; 65(2):55-64. PMID: 22222380.
      View in: PubMed
    21. 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. J Neurophysiol. 2011 Nov; 106(5):2632-41. PMID: 21832031; PMCID: PMC3214116.
    22. 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. J Neuroeng Rehabil. 2011 Aug 03; 8:42. PMID: 21813010; PMCID: PMC3169456.
    23. 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. Exp Brain Res. 2011 Aug; 212(4):593-601. PMID: 21695536.
      View in: PubMed
    24. Kawato M, Kuroda S, Schweighofer N. Cerebellar supervised learning revisited: biophysical modeling and degrees-of-freedom control. Curr Opin Neurobiol. 2011 Oct; 21(5):791-800. PMID: 21665461.
      View in: PubMed
    25. 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. Neurorehabil Neural Repair. 2011 Jun; 25(5 Suppl):6S-20S. PMID: 21613534; PMCID: PMC4139496.
    26. 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. Curr Biol. 2011 Apr 12; 21(7):557-62. PMID: 21419628.
      View in: PubMed
    27. Qi F, Schweighofer N. Including prior knowledge for accurate and fast motor threshold estimation. Brain Stimul. 2011 Jan; 4(1):60-1. PMID: 21255758.
      View in: PubMed
    28. Qi F, Wu AD, Schweighofer N. Fast estimation of transcranial magnetic stimulation motor threshold. Brain Stimul. 2011 Jan; 4(1):50-7. PMID: 21255756.
      View in: PubMed
    29. Gentili R, Han CE, Schweighofer N, Papaxanthis C. Motor learning without doing: trial-by-trial improvement in motor performance during mental training. J Neurophysiol. 2010 Aug; 104(2):774-83. PMID: 20538766.
      View in: PubMed
    30. Tokuda IT, Han CE, Aihara K, Kawato M, Schweighofer N. The role of chaotic resonance in cerebellar learning. Neural Netw. 2010 Sep; 23(7):836-42. PMID: 20494551.
      View in: PubMed
    31. Callan DE, Schweighofer N. Neural correlates of the spacing effect in explicit verbal semantic encoding support the deficient-processing theory. Hum Brain Mapp. 2010 Apr; 31(4):645-59. PMID: 19882649.
      View in: PubMed
    32. Tanaka SC, Shishida K, Schweighofer N, Okamoto Y, Yamawaki S, Doya K. Serotonin affects association of aversive outcomes to past actions. J Neurosci. 2009 Dec 16; 29(50):15669-74. PMID: 20016081.
      View in: PubMed
    33. 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. Phys Ther. 2009 Dec; 89(12):1327-36. PMID: 19797304; PMCID: PMC2794477.
    34. Lee JY, Schweighofer N. Dual adaptation supports a parallel architecture of motor memory. J Neurosci. 2009 Aug 19; 29(33):10396-404. PMID: 19692614; PMCID: PMC2789989.
    35. Han CE, Arbib MA, Schweighofer N. Stroke rehabilitation reaches a threshold. PLoS Comput Biol. 2008 Aug 22; 4(8):e1000133. PMID: 18769588; PMCID: PMC2527783.
    36. Choi Y, Qi F, Gordon J, Schweighofer N. Performance-based adaptive schedules enhance motor learning. J Mot Behav. 2008 Jul; 40(4):273-80. PMID: 18628104.
      View in: PubMed
    37. Schweighofer N, Bertin M, Shishida K, Okamoto Y, Tanaka SC, Yamawaki S, Doya K. Low-serotonin levels increase delayed reward discounting in humans. J Neurosci. 2008 Apr 23; 28(17):4528-32. PMID: 18434531.
      View in: PubMed
    38. Callan DE, Schweighofer N. Positive and negative modulation of word learning by reward anticipation. Hum Brain Mapp. 2008 Feb; 29(2):237-49. PMID: 17390317.
      View in: PubMed
    39. 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. 2007 Dec 19; 2(12):e1333. PMID: 18091999; PMCID: PMC2129114.
    40. Bertin M, Schweighofer N, Doya K. Multiple model-based reinforcement learning explains dopamine neuronal activity. Neural Netw. 2007 Aug; 20(6):668-75. PMID: 17611074.
      View in: PubMed
    41. Schweighofer N, Tanaka SC, Doya K. Serotonin and the evaluation of future rewards: theory, experiments, and possible neural mechanisms. Ann N Y Acad Sci. 2007 May; 1104:289-300. PMID: 17360806.
      View in: PubMed
    42. 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 Comput Biol. 2006 Nov 10; 2(11):e152. PMID: 17096592; PMCID: PMC1635539.
    43. Pozzo T, Papaxanthis C, Petit JL, Schweighofer N, Stucchi N. Kinematic features of movement tunes perception and action coupling. Behav Brain Res. 2006 Apr 25; 169(1):75-82. PMID: 16430976.
      View in: PubMed
    44. Schaal S, Schweighofer N. Computational motor control in humans and robots. Curr Opin Neurobiol. 2005 Dec; 15(6):675-82. PMID: 16271466.
      View in: PubMed
    45. Schweighofer N, Doya K, Fukai H, Chiron JV, Furukawa T, Kawato M. Chaos may enhance information transmission in the inferior olive. Proc Natl Acad Sci U S A. 2004 Mar 30; 101(13):4655-60. PMID: 15070773; PMCID: PMC384802.
    46. Schweighofer N, Doya K, Kuroda S. Cerebellar aminergic neuromodulation: towards a functional understanding. Brain Res Brain Res Rev. 2004 Mar; 44(2-3):103-16. PMID: 15003388.
      View in: PubMed
    47. Schweighofer N, Doya K. Meta-learning in reinforcement learning. Neural Netw. 2003 Jan; 16(1):5-9. PMID: 12576101.
      View in: PubMed
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