| Year |
Citation |
Score |
| 2023 |
Barradas VR, Koike Y, Schweighofer N. Theoretical limits on the speed of learning inverse models explain the rate of adaptation in arm reaching tasks. Neural Networks : the Official Journal of the International Neural Network Society. 170: 376-389. PMID 38029719 DOI: 10.1016/j.neunet.2023.10.049 |
0.314 |
|
| 2023 |
Sugiyama T, Schweighofer N, Izawa J. Reinforcement learning establishes a minimal metacognitive process to monitor and control motor learning performance. Nature Communications. 14: 3988. PMID 37422476 DOI: 10.1038/s41467-023-39536-9 |
0.541 |
|
| 2023 |
Varghese R, Gordon J, Sainburg RL, Winstein CJ, Schweighofer N. Adaptive control is reversed between hands after left hemisphere stroke and lost following right hemisphere stroke. Proceedings of the National Academy of Sciences of the United States of America. 120: e2212726120. PMID 36716370 DOI: 10.1073/pnas.2212726120 |
0.304 |
|
| 2021 |
Kim S, Han CE, Kim B, Winstein CJ, Schweighofer N. Effort, success, and side of lesion determine arm choice in chronic stroke survivors with mild-to-moderate impairment. Journal of Neurophysiology. PMID 34879206 DOI: 10.1152/jn.00532.2020 |
0.78 |
|
| 2021 |
Berret B, Conessa A, Schweighofer N, Burdet E. Stochastic optimal feedforward-feedback control determines timing and variability of arm movements with or without vision. Plos Computational Biology. 17: e1009047. PMID 34115757 DOI: 10.1371/journal.pcbi.1009047 |
0.56 |
|
| 2021 |
Kambara H, Takagi A, Shimizu H, Kawase T, Yoshimura N, Schweighofer N, Koike Y. Computational reproductions of external force field adaption without assuming desired trajectories. Neural Networks : the Official Journal of the International Neural Network Society. 139: 179-198. PMID 33740581 DOI: 10.1016/j.neunet.2021.01.030 |
0.303 |
|
| 2020 |
Varghese R, Kutch JJ, Schweighofer N, Winstein CJ. The probability of choosing both hands depends on an interaction between motor capacity and limb-specific control in chronic stroke. Experimental Brain Research. PMID 32880681 DOI: 10.1007/S00221-020-05909-5 |
0.402 |
|
| 2020 |
Wang C, Winstein C, D'Argenio DZ, Schweighofer N. The Efficiency, Efficacy, and Retention of Task Practice in Chronic Stroke. Neurorehabilitation and Neural Repair. 1545968320948609. PMID 32830617 DOI: 10.1177/1545968320948609 |
0.399 |
|
| 2020 |
Hoang H, Lang EJ, Hirata Y, Tokuda IT, Aihara K, Toyama K, Kawato M, Schweighofer N. Electrical coupling controls dimensionality and chaotic firing of inferior olive neurons. Plos Computational Biology. 16: e1008075. PMID 32730255 DOI: 10.1371/journal.pcbi.1008075 |
0.52 |
|
| 2019 |
Lefebvre S, Jann K, Schmiesing A, Ito K, Jog M, Schweighofer N, Wang DJJ, Liew SL. Differences in high-definition transcranial direct current stimulation over the motor hotspot versus the premotor cortex on motor network excitability. Scientific Reports. 9: 17605. PMID 31772347 DOI: 10.1038/S41598-019-53985-7 |
0.363 |
|
| 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 |
0.397 |
|
| 2019 |
Kim A, Schweighofer N, Finley JM. Locomotor skill acquisition in virtual reality shows sustained transfer to the real world. Journal of Neuroengineering and Rehabilitation. 16: 113. PMID 31521167 DOI: 10.1186/S12984-019-0584-Y |
0.337 |
|
| 2019 |
Winstein C, Kim B, Kim S, Martinez C, Schweighofer N. Dosage Matters. Stroke. STROKEAHA118023603. PMID 31164067 DOI: 10.1161/Strokeaha.118.023603 |
0.461 |
|
| 2019 |
Lefebvre S, Jann K, Schmiesing A, Ito K, Jog M, Schweighofer N, Wang DJ, Liew S. Proceedings #15: Concurrent HD-tDCS/fMRI Study Exploring Changes in Motor Network Physiology and Complexity Brain Stimulation. 12: e76-e78. DOI: 10.1016/J.Brs.2018.12.184 |
0.319 |
|
| 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 |
0.402 |
|
| 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 |
0.777 |
|
| 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 |
0.579 |
|
| 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 |
0.368 |
|
| 2017 |
Bakhti KKA, Mottet D, Schweighofer N, Froger J, Laffont I. Proximal arm non-use when reaching after a stroke. Neuroscience Letters. 657: 91-96. PMID 28778806 DOI: 10.1016/j.neulet.2017.07.055 |
0.39 |
|
| 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 |
0.393 |
|
| 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 |
0.589 |
|
| 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 |
0.571 |
|
| 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 |
0.603 |
|
| 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 |
0.672 |
|
| 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 |
0.374 |
|
| 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 |
0.399 |
|
| 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 |
0.397 |
|
| 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 |
0.401 |
|
| 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 |
0.434 |
|
| 2015 |
Bakhti K, Mottet D, Schweighofer N, Froger J, Laffont I. Quantification of learned non-use of the upper limb after a stroke Annals of Physical and Rehabilitation Medicine. 58. DOI: 10.1016/J.Rehab.2015.07.015 |
0.465 |
|
| 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 |
0.35 |
|
| 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 |
0.332 |
|
| 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 |
0.312 |
|
| 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 |
0.562 |
|
| 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 |
0.507 |
|
| 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 |
0.771 |
|
| 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 |
0.544 |
|
| 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 |
0.342 |
|
| 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 |
0.342 |
|
| 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 |
0.771 |
|
| 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 |
0.468 |
|
| 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 |
0.337 |
|
| 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 |
0.662 |
|
| 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 |
0.378 |
|
| 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 |
0.489 |
|
| 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 |
0.53 |
|
| 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 |
0.397 |
|
| 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 |
0.492 |
|
| 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 |
0.465 |
|
| 2011 |
Onizuka M, Toyama K, Schweighofer N, Katori Y, Aihara K, Lang EJ, Kawato M. Similarity analysis using both PCA and ANOVA between experimental and simulation data of spike trains from IO Neuroscience Research. 71: e306. DOI: 10.1016/j.neures.2011.07.1336 |
0.435 |
|
| 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 |
0.785 |
|
| 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 |
0.771 |
|
| 2010 |
Osu R, Schweighofer N, Hirai S, Yoshioka T, Kawato M. Initial training schedule pre-determines subsequent performanice in dual adaptation to conflicting environments Neuroscience Research. 68: e148. DOI: 10.1016/j.neures.2010.07.2232 |
0.46 |
|
| 2010 |
Onizuka M, Schweighofer N, Katori Y, Aihara K, Toyama K, Kawato M. Reproduction of complex spike firing patterns with modulated effective coupling conductance in inferior olive neurons Neuroscience Research. 68: e435. DOI: 10.1016/j.neures.2010.07.1927 |
0.431 |
|
| 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 |
0.511 |
|
| 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: 10.1016/J.Neures.2010.07.441 |
0.765 |
|
| 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 |
0.694 |
|
| 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 |
0.346 |
|
| 2009 |
Callan D, Schweighofer N, Sato M, Kawato M. Brain Regions Involved with Internal Temporal Duration Judgment Neuroimage. 47: S151. DOI: 10.1016/S1053-8119(09)71555-1 |
0.323 |
|
| 2009 |
Callan D, Schweighofer N, Sato M, Kawato M. Supervised Error Feedback Learning and Unsupervised Exemplar Learning of a Temporal Judgment Task Differentially Activate Cerebellum and Parietal Cortex Neuroscience Research. 65: S181. DOI: 10.1016/J.Neures.2009.09.964 |
0.458 |
|
| 2009 |
Onizuka M, Schweighofer N, Katori Y, Aihara K, Ogasawara H, Toyama K, Kawato M. Firing dynamics of the inferior olive neurons: a simulation study Neuroscience Research. 65: S237. DOI: 10.1016/j.neures.2009.09.1335 |
0.434 |
|
| 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 |
0.799 |
|
| 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 |
0.518 |
|
| 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 |
0.507 |
|
| 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 |
0.324 |
|
| 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. |
0.353 |
|
| 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 |
0.47 |
|
| 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 |
0.33 |
|
| 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 |
0.471 |
|
| 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 |
0.759 |
|
| 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 |
0.344 |
|
| 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 |
0.35 |
|
| 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 |
0.485 |
|
| 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 |
0.377 |
|
| 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 |
0.362 |
|
| 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 DOI: 10.1523/Jneurosci.21-15-05693.2001 |
0.433 |
|
| 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 |
0.382 |
|
| 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 DOI: 10.1073/Pnas.97.19.10661 |
0.363 |
|
| 2000 |
Spoelstra J, Schweighofer N, Arbib MA. Cerebellar learning of accurate predictive control for fast-reaching movements. Biological Cybernetics. 82: 321-33. PMID 10804064 DOI: 10.1007/S004220050586 |
0.705 |
|
| 1999 |
Schweighofer N, Doya K, Kawato M. Electrophysiological properties of inferior olive neurons: A compartmental model. Journal of Neurophysiology. 82: 804-17. PMID 10444678 DOI: 10.1152/Jn.1999.82.2.804 |
0.442 |
|
| 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 |
0.702 |
|
| 1998 |
Schweighofer N, Arbib MA. A model of cerebellar metaplasticity. Learning & Memory (Cold Spring Harbor, N.Y.). 4: 421-8. PMID 10701881 DOI: 10.1101/Lm.4.5.421 |
0.656 |
|
| 1998 |
Schweighofer N. A model of activity-dependent formation of cerebellar microzones. Biological Cybernetics. 79: 97-107. PMID 9791930 DOI: 10.1007/S004220050462 |
0.408 |
|
| 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 |
0.749 |
|
| 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 |
0.732 |
|
| 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 DOI: 10.1007/Bf00238737 |
0.73 |
|
| 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 DOI: 10.1007/Bf00238736 |
0.751 |
|
| 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 |
0.693 |
|
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