Estimating the relevance of world disturbances to explain savings, interference and long-term motor adaptation effects

PLoS Computational Biology

Volumn 7, Issue 10, 2011, Pages

  Berniker, Max ^a   Kording, Konrad P ^a  

^a NORTHWESTERN UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

'CURRENT; ESTIMATING PARAMETERS; EXTERNAL DISTURBANCES; FUTURE LABORATORY; LINEAR PROCESS; MODEL ADAPTATION; MOTOR ADAPTATION; MOTOR PERFORMANCE; PROPERTY; TIME-SCALES;

PARAMETER ESTIMATION;

ADAPTATION; ARTICLE; LOCOMOTION; MATHEMATICAL MODEL; MOTOR ACTIVITY; MOTOR CONTROL; MOTOR PERFORMANCE; MOTOR SYSTEM; PROBABILITY; BIOLOGICAL MODEL; BIOLOGY; FEEDBACK SYSTEM; HUMAN; MOVEMENT (PHYSIOLOGY); NERVOUS SYSTEM FUNCTION; PHYSIOLOGY; PSYCHOMOTOR PERFORMANCE; STATISTICAL MODEL; TIME;

ADAPTATION, PHYSIOLOGICAL; COMPUTATIONAL BIOLOGY; FEEDBACK, PHYSIOLOGICAL; HUMANS; LINEAR MODELS; MODELS, NEUROLOGICAL; MOTOR SKILLS; MOVEMENT; NERVOUS SYSTEM PHYSIOLOGICAL PHENOMENA; PSYCHOMOTOR PERFORMANCE; TIME FACTORS;

EID: 80055076615     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1002210     Document Type: Article

References (43)

1. Flash T, Sejnowski TJ, (2001) Computational approaches to motor control. Curr Opin Neurobiol 11: 655-662.
2. Schaal S, Schweighofer N, (2005) Computational motor control in humans and robots. Curr Opin Neurobiol 15: 675-682.
3. Shadmehr R, Krakauer JW, (2008) A computational neuroanatomy for motor control. Exp Brain Res 185: 359-381.
4. Berniker M, Kording K, (2008) Estimating the sources of motor errors for adaptation and generalization. Nat Neurosci 11: 1454-1461.
5. Smith MA, Ghazizadeh A, Shadmehr R, (2006) Interacting adaptive processes with different timescales underlie short-term motor learning. PLoS Biol 4: e179.
6. Lee JY, Schweighofer N, (2009) Dual adaptation supports a parallel architecture of motor memory. J Neurosci 29: 10396-10404.
7. Kording KP, Tenenbaum JB, Shadmehr R, (2007) The dynamics of memory as a consequence of optimal adaptation to a changing body. Nat Neurosci 10: 779-786.
8. Zarahn E, Weston GD, Liang J, Mazzoni P, Krakauer JW, (2008) Explaining savings for visuomotor adaptation: linear time-invariant state-space models are not sufficient. J Neurophysiol 100: 2537-2548.
9. Davidson PR, Wolpert DM, (2004) Scaling down motor memories: de-adaptation after motor learning. Neurosci Lett 370: 102-107.
10. Shadmehr R, Brandt J, Corkin S, (1998) Time-dependent motor memory processes in amnesic subjects. J Neurophysiol 80: 1590-1597.
11. Krakauer JW, Shadmehr R, (2006) Consolidation of motor memory. Trends Neurosci 29: 58-64.
12. Shadmehr R, Brashers-Krug T, (1997) Functional stages in the formation of human long-term motor memory. J Neurosci 17: 409-419.
13. Krakauer JW, Ghez C, Ghilardi MF, (2005) Adaptation to visuomotor transformations: consolidation, interference, and forgetting. J Neurosci 25: 473-478.
14. Robert AJ, Michael IJ, Steven JN, Geoffrey EH, (1991) Adaptive mixtures of local experts. Neural Comput 3: 79-87.
15. Haruno M, Wolpert DM, Kawato M, (2001) Mosaic model for sensorimotor learning and control. Neural Comput 13: 2201-2220.
16. Ghahramani Z, Wolpert DM, (1997) Modular decomposition in visuomotor learning. Nature 386: 392-395.
17. Wei K, Kording K, (2009) Relevance of error: what drives motor adaptation? J Neurophysiol 101: 655-664.
18. Shadmehr R, Mussa-Ivaldi FA, (1994) Adaptive representation of dynamics during learning of a motor task. J Neurosci 14: 3208-3224.
19. Krakauer JW, Ghilardi MF, Ghez C, (1999) Independent learning of internal models for kinematic and dynamic control of reaching. Nat Neurosci 2: 1026-1031.
20. Cothros N, Wong JD, Gribble PL, (2006) Are there distinct neural representations of object and limb dynamics? Exp Brain Res 173: 689-697.
21. Malfait N, Ostry DJ, (2004) Is interlimb transfer of force-field adaptation a cognitive response to the sudden introduction of load? J Neurosci 24: 8084-8089.
22. Kluzik J, Diedrichsen J, Shadmehr R, Bastian AJ, (2008) Reach adaptation: what determines whether we learn an internal model of the tool or adapt the model of our arm? J Neurophysiol 100: 1455-1464.
23. Klassen J, Tong C, Flanagan JR, (2005) Learning and recall of incremental kinematic and dynamic sensorimotor transformations. Exp Brain Res 164: 250-259.
24. Scheidt RA, Reinkensmeyer DJ, Conditt MA, Rymer WZ, Mussa-Ivaldi FA, (2000) Persistence of motor adaptation during constrained, multi-joint, arm movements. J Neurophysiol 84: 853-862.
25. Kojima Y, Iwamoto Y, Yoshida K, (2004) Memory of learning facilitates saccadic adaptation in the monkey. J Neurosci 24: 7531-7539.
26. Rescorla RA, (2004) Spontaneous recovery. Learn Mem 11: 501-509.
27. Stollhoff N, Menzel R, Eisenhardt D, (2005) Spontaneous recovery from extinction depends on the reconsolidation of the acquisition memory in an appetitive learning paradigm in the honeybee (Apis mellifera). J Neurosci 25: 4485-4492.
28. Sing GC, Smith MA, (2010) Reduction in learning rates associated with anterograde interference results from interactions between different timescales in motor adaptation. PLoS Comput Biol 6.
29. Krakauer JW, Mazzoni P, Ghazizadeh A, Ravindran R, Shadmehr R, (2006) Generalization of motor learning depends on the history of prior action. PLoS Biol 4: e316.
30. Tong C, Wolpert DM, Flanagan JR, (2002) Kinematics and dynamics are not represented independently in motor working memory: evidence from an interference study. J Neurosci 22: 1108-1113.
31. Arce F, Novick I, Shahar M, Link Y, Ghez C, et al. (2009) Differences in context and feedback result in different trajectories and adaptation strategies in reaching. PLoS One 4: e4214.
32. Brashers-Krug T, Shadmehr R, Bizzi E, (1996) Consolidation in human motor memory. Nature 382: 252-255.
33. Krakauer JW, (2009) Motor learning and consolidation: the case of visuomotor rotation. Adv Exp Med Biol 629: 405-421.
34. Fernandes HL, Kording KP, In praise of "false" models and rich data. J Mot Behav 42: 343-349.
35. Huang VS, Shadmehr R, (2009) Persistence of motor memories reflects statistics of the learning event. J Neurophysiol 102: 931-940.
36. Synofzik M, Thier P, Lindner A, (2006) Internalizing agency of self-action: perception of one's own hand movements depends on an adaptable prediction about the sensory action outcome. J Neurophysiol 96: 1592-1601.
37. Cressman EK, Henriques DY, (2009) Sensory recalibration of hand position following visuomotor adaptation. J Neurophysiol 102: 3505-3518.
38. Ostry DJ, Darainy M, Mattar AA, Wong J, Gribble PL, (2010) Somatosensory plasticity and motor learning. J Neurosci 30: 5384-5393.
39. Schweighofer N, Doya K, (2003) Meta-learning in reinforcement learning. Neural Netw 16: 5-9.
40. Osu R, Hirai S, Yoshioka T, Kawato M, (2004) Random presentation enables subjects to adapt to two opposing forces on the hand. Nat Neurosci 7: 111-112.
41. Flanagan JR, Wing AM, (1997) The role of internal models in motion planning and control: evidence from grip force adjustments during movements of hand-held loads. J Neurosci 17: 1519-1528.
42. Westling G, Johansson RS, (1984) Factors influencing the force control during precision grip. Exp Brain Res 53: 277-284.
43. Vidoni ED, Acerra NE, Dao E, Meehan SK, Boyd LA, (2010) Role of the primary somatosensory cortex in motor learning: An rTMS study. Neurobiol Learn Mem 93: 532-539.