P. W. Battaglia and P. R. Schrater, Humans Trade Off Viewing Time and Movement Duration to Improve Visuomotor Accuracy in a Fast Reaching Task, Journal of Neuroscience, vol.27, issue.26, pp.6984-6994, 2007.
DOI : 10.1523/JNEUROSCI.1309-07.2007

B. Berret, J. , and F. , Why Don't We Move Slower? The Value of Time in the Neural Control of Action, Journal of Neuroscience, vol.36, issue.4, pp.1056-1070, 2016.
DOI : 10.1523/JNEUROSCI.1921-15.2016

URL : https://hal.archives-ouvertes.fr/hal-01263658

R. J. Bootsma, L. Fernandez, and D. Mottet, Behind Fitts??? law: kinematic patterns in goal-directed movements, International Journal of Human-Computer Studies, vol.61, issue.6, pp.811-821, 2004.
DOI : 10.1016/j.ijhcs.2004.09.004

R. J. Bootsma, R. G. Marteniuk, C. L. Mackenzie, and F. T. Zaal, The speed-accuracy trade-off in manual prehension: effects of movement amplitude, object size and object width on kinematic characteristics, Experimental Brain Research, vol.98, issue.3, pp.535-541, 1007.
DOI : 10.1007/BF00233990

J. J. Burkitt, L. E. Grierson, V. Staite, D. Elliott, and J. Lyons, The Impact of Prior Knowledge about Visual Feedback on Motor Performance and Learning, Advances in Physical Education, vol.03, issue.01, 2013.
DOI : 10.4236/ape.2013.31001

E. R. Crossman and P. J. Goodeve, Feedback Control of Hand-Movement and Fitts' Law, The Quarterly Journal of Experimental Psychology Section A, vol.13, issue.2, pp.251-278, 1080.
DOI : 10.1016/0005-1098(63)90003-7

M. Dean, S. Wu, and L. T. Maloney, Trading off speed and accuracy in rapid, goal-directed movements, Journal of Vision, vol.7, issue.5, pp.1-12, 2007.
DOI : 10.1167/7.5.10

J. Diedrichsen, O. White, D. Newman, and N. Lally, Use-Dependent and Error-Based Learning of Motor Behaviors, Journal of Neuroscience, vol.30, issue.15, pp.5159-5166, 2010.
DOI : 10.1523/JNEUROSCI.5406-09.2010

URL : https://hal.archives-ouvertes.fr/hal-00863985

D. Elliott, S. Hansen, L. E. Grierson, J. Lyons, S. J. Bennett et al., Goal-directed aiming: Two components but multiple processes., Psychological Bulletin, vol.136, issue.6, 2010.
DOI : 10.1037/a0020958

URL : http://sangerlab.wdfiles.com/local--files/journalclub/Goal-Directed Aiming, Two Components but Multiple Processes - Elliot 2010.pdf

D. Elliott, W. F. Helsen, C. , and R. , A century later: Woodworth's (1899) two-component model of goal-directed aiming., Psychological Bulletin, vol.127, issue.3, 2001.
DOI : 10.1037/0033-2909.127.3.342

D. Elliott, J. Lyons, S. J. Hayes, J. J. Burkitt, J. W. Roberts et al., The multiple process model of goal-directed reaching revisited, Neuroscience & Biobehavioral Reviews, vol.72, pp.95-110, 2017.
DOI : 10.1016/j.neubiorev.2016.11.016

A. A. Faisal, L. P. Selen, and D. M. Wolpert, Noise in the nervous system, Nature Reviews Neuroscience, vol.81, issue.4, pp.292-303, 1037.
DOI : 10.1126/science.1089662

J. Gordon, M. F. Ghilardi, S. E. Cooper, C. Ghez, L. Green et al., Accuracy of planar reaching movements, Experimental Brain Research, vol.80, issue.1, pp.112-130, 1994.
DOI : 10.1139/y88-080

L. Green and J. Myerson, A Discounting Framework for Choice With Delayed and Probabilistic Rewards., Psychological Bulletin, vol.130, issue.5, 2004.
DOI : 10.1037/0033-2909.130.5.769

E. Guigon, P. Baraduc, and M. Desmurget, Computational Motor Control: Redundancy and Invariance, Journal of Neurophysiology, vol.97, issue.1, pp.331-347, 2006.
DOI : 10.1016/S0167-9457(99)00038-X

URL : https://hal.archives-ouvertes.fr/inserm-00214133

E. Guigon, P. Baraduc, and M. Desmurget, Computational motor control: feedback and accuracy, European Journal of Neuroscience, vol.3, issue.4, pp.1003-1016, 2008.
DOI : 10.1038/81497

E. Guigon, P. Baraduc, and M. Desmurget, Optimality, stochasticity, and variability in motor behavior, Journal of Computational Neuroscience, vol.269, issue.Supplement, pp.57-68, 2008.
DOI : 10.1007/s10827-007-0041-y

URL : https://hal.archives-ouvertes.fr/inserm-00212327

N. Hansen, S. Muller, K. , and P. , Reducing the Time Complexity of the Derandomized Evolution Strategy with Covariance Matrix Adaptation (CMA-ES), Evolutionary Computation, vol.11, issue.1, pp.1-18, 2003.
DOI : 10.1162/106365601750190398

S. Hansen, C. M. Glazebrook, J. G. Anson, D. J. Weeks, E. et al., The influence of advance information about target location and visual feedback on movement planning and execution., Canadian Journal of Experimental Psychology/Revue canadienne de psychologie exp??rimentale, vol.60, issue.3, pp.200-210, 2006.
DOI : 10.1037/cjep2006019

C. M. Harris and D. M. Wolpert, Signal-dependent noise determines motor planning, Nature, vol.394, issue.6695, pp.780-784, 1998.
DOI : 10.1038/29528

B. Hoff, A model of duration in normal and perturbed reaching movement, Biological Cybernetics, vol.62, issue.6, pp.481-488, 1994.
DOI : 10.1007/BF00238849

T. E. Hudson, L. T. Maloney, and M. S. Landy, Optimal Compensation for Temporal Uncertainty in Movement Planning, PLoS Computational Biology, vol.186, issue.7, 2008.
DOI : 10.1371/journal.pcbi.1000130.t001

J. Izawa, T. Rane, O. Donchin, and R. Shadmehr, Motor Adaptation as a Process of Reoptimization, Journal of Neuroscience, vol.28, issue.11, pp.2883-2891, 2008.
DOI : 10.1523/JNEUROSCI.5359-07.2008

F. Jean and B. Berret, On the Duration of Human Movement: From Self-paced to Slow/Fast Reaches up to Fitts???s Law, Geometric and Numerical Foundations of Movements, pp.43-65, 2017.
DOI : 10.3200/JMBR.41.4.339-346

H. Kambara, K. Kim, D. Shin, M. Sato, and Y. Koike, Learning and generation of goal-directed arm reaching from scratch, Neural Networks, vol.22, issue.4, pp.348-361, 2009.
DOI : 10.1016/j.neunet.2008.11.004

M. Katayama and M. Kawato, Virtual trajectory and stiffness ellipse during multijoint arm movement predicted by neural inverse models, Biological Cybernetics, vol.22, issue.4, pp.353-362, 1993.
DOI : 10.9746/sicetr1965.24.385

S. W. Keele, T. Kimura, Y. , and P. , Movement control in skilled motor performance., Psychological Bulletin, vol.70, issue.6, Pt.1, pp.387-494, 1038.
DOI : 10.1037/h0026739

M. Laurent, Fitts' law in two-dimensional task space, Exp. Brain Res, vol.100, pp.144-148, 1994.
URL : https://hal.archives-ouvertes.fr/hal-01385327

W. Li, Optimal Control for Biological Movement Systems, 2006.

D. Liu and E. Todorov, Evidence for the Flexible Sensorimotor Strategies Predicted by Optimal Feedback Control, Journal of Neuroscience, vol.27, issue.35, pp.9354-9368, 2007.
DOI : 10.1523/JNEUROSCI.1110-06.2007

C. L. Mackenzie, R. Marteniuk, C. Dugas, D. Liske, and B. Eickmeier, Three-Dimensional Movement Trajectories in Fitts' Task: Implications for Control, The Quarterly Journal of Experimental Psychology Section A, vol.3, issue.2, pp.629-647, 1080.
DOI : 10.1037/h0063246

D. E. Meyer, R. A. Abrams, S. Kornblum, C. E. Wright, K. Smith et al., Optimality in human motor performance: Ideal control of rapid aimed movements., Psychological Review, vol.95, issue.3, 1988.
DOI : 10.1037/0033-295X.95.3.340

D. Mitrovic, S. Klanke, and S. Vijayakumar, Adaptive Optimal Control for Redundantly Actuated Arms, Proceedings of the Tenth International Conference on Simulation of Adaptive Behavior, pp.93-102, 2008.
DOI : 10.1007/978-3-540-69134-1_10

R. L. Perri, M. Berchicci, D. Spinelli, D. Russo, and F. , Individual differences in response speed and accuracy are associated to specific brain activities of two interacting systems, Frontiers in Behavioral Neuroscience, vol.8, 2014.
DOI : 10.3389/fnins.2014.00069

R. Plamondon, On the origin of asymmetric bell-shaped velocity profiles in rapid-aimed movements. Tutorials Motor Neurosci, pp.283-295, 1991.

R. Plamondon, A. , and A. M. , Speed/accuracy trade-offs in targetdirected movements, Behav. Brain Sci, vol.20, pp.279-303, 1997.

C. Prévost, M. Pessiglione, E. Météreau, M. Cléry-melin, and J. Dreher, Separate Valuation Subsystems for Delay and Effort Decision Costs, Journal of Neuroscience, vol.30, issue.42, pp.14080-14090, 2010.
DOI : 10.1523/JNEUROSCI.2752-10.2010

N. Qian, Y. Jiang, Z. Jiang, P. L. Mazzoni, and E. Guigon, Movement Duration, Fitts's Law, and an Infinite-Horizon Optimal Feedback Control Model for Biological Motor Systems, Neural Computation, vol.8, issue.3, pp.697-724, 2012.
DOI : 10.1007/s00221-009-1879-1

P. H. Rudebeck, M. E. Walton, A. N. Smyth, D. M. Bannerman, and M. F. Rushworth, Separate neural pathways process different decision costs, Nature Neuroscience, vol.116, issue.9, pp.1161-1168, 1038.
DOI : 10.1037/0735-7044.116.5.884

S. H. Scott, Optimal feedback control and the neural basis of volitional motor control, Nature Reviews Neuroscience, vol.195, issue.7, pp.532-546, 2004.
DOI : 10.1038/nn1102-1110

S. Mackenzie and I. , A Note on the Information-Theoretic Basis for Fitts??? Law, Journal of Motor Behavior, vol.14, issue.3, 1989.
DOI : 10.1080/00140136008930484

. Peternel, Unifying Speed-Accuracy Trade-Off and Cost-Benefit Trade-off
URL : https://hal.archives-ouvertes.fr/hal-01679624

L. P. Selen, P. J. Beek, and J. H. Van-dieen, Impedance is modulated to meet accuracy demands during goal-directed arm movements, Experimental Brain Research, vol.86, issue.1, pp.129-138, 2006.
DOI : 10.1113/jphysiol.1994.sp020026

R. Shadmehr and F. A. Mussa-ivaldi, Adaptive representation of the dynamics during learning of a motor task, J. Neurosci, vol.14, pp.3208-3324, 1994.

R. Shadmehr, J. Orban-de-xivry, M. Xu-wilson, and T. Shih, Temporal Discounting of Reward and the Cost of Time in Motor Control, Journal of Neuroscience, vol.30, issue.31, pp.10507-10516, 2010.
DOI : 10.1523/JNEUROSCI.1343-10.2010

H. Tanaka, J. W. Krakauer, and N. Qian, An Optimization Principle for Determining Movement Duration, Journal of Neurophysiology, vol.95, issue.6, pp.3875-3886, 2005.
DOI : 10.1109/TBME.1985.325498

URL : http://jn.physiology.org/content/jn/95/6/3875.full.pdf

E. E. Todorov, Optimality principles in sensorimotor control, Nature Neuroscience, vol.3, issue.9, pp.907-915, 2004.
DOI : 10.1038/73964

E. Todorov, J. , and M. I. , Optimal feedback control as a theory of motor coordination, Nature Neuroscience, vol.20, issue.11, pp.1226-1235, 2002.
DOI : 10.1016/S0167-9457(01)00073-2

J. Trommershäuser, L. T. Maloney, and M. S. Landy, Statistical decision theory and the selection of rapid, goal-directed movements, Journal of the Optical Society of America A, vol.20, issue.7, pp.1419-1433, 2003.
DOI : 10.1364/JOSAA.20.001419

C. Wang, Y. Xiao, E. Burdet, J. Gordon, and N. Schweighofer, The duration of reaching movement is longer than predicted by minimum variance, Journal of Neurophysiology, vol.5, issue.5, pp.2342-2345, 2016.
DOI : 10.1037/h0092992

K. Watanabe, J. Lauwereyns, and O. Hikosaka, Effects of motivational conflicts on visually elicited saccades in monkeys, Experimental Brain Research, vol.152, issue.3, pp.361-367, 2003.
DOI : 10.1007/s00221-003-1555-9

R. S. Woodworth, The Accuracy of Voluntary Movement, 1899.

W. B. Young and G. E. Bilby, The effect of voluntary effort to influence speed, J. Strength Condition. Res, vol.7, pp.172-178, 1993.