Smith, M. A., Ghazizadeh, A. & Shadmehr, R. Interacting adaptive processes with other timescales underlie temporary motor finding out. PLoS Biol. 4, e179 (2006).
Kitago, T., Ryan, S., Mazzoni, P., Krakauer, J. W. & Haith, A. M. Unlearning as opposed to financial savings in visuomotor adaptation: evaluating results of washout, passage of time, and removing of mistakes on motor reminiscence. Entrance. Hum. Neurosci. 7, 307 (2013).
Sing, G. C. & Smith, M. A. Relief in finding out charges related to anterograde interference effects from interactions between other timescales in motor adaptation. PLoS Comput. Biol. 6, e1000893 (2010).
Herzfeld, D. J., Vaswani, P. A., Marko, M. Okay. & Shadmehr, R. A reminiscence of mistakes in sensorimotor finding out. Science 345, 1349–1353 (2014).
Gonzalez Castro, L. N., Hadjiosif, A. M., Hemphill, M. A. & Smith, M. A. Environmental consistency determines the speed of motor adaptation. Curr. Biol. 24, 1050–1061 (2014).
McDougle, S. D. et al. Credit score task in movement-dependent reinforcement finding out. Proc. Natl Acad. Sci. USA 113, 6797–6802 (2016).
Donchin, O., Francis, J. T. & Shadmehr, R. Quantifying generalization from trial-by-trial conduct of adaptive programs that be informed with foundation purposes: concept and experiments in human motor regulate. J. Neurosci. 23, 9032–9045 (2003).
Thoroughman, Okay. A. & Shadmehr, R. Studying of motion via adaptive mixture of motor primitives. Nature 407, 742–747 (2000).
Shadmehr, R., Smith, M. A. & Krakauer, J. W. Error correction, sensory prediction, and adaptation in motor regulate. Annu. Rev. Neurosci. 33, 89–108 (2010).
Wolpert, D. M. & Kawato, M. More than one paired ahead and inverse fashions for motor regulate. Neural Netw. 11, 1317–1329 (1998).
Oh, Y. & Schweighofer, N. Minimizing precision-weighted sensory prediction mistakes by the use of reminiscence formation and switching in motor adaptation. J. Neurosci. 39, 9237–9250 (2019).
Gershman, S. J., Radulescu, A., Norman, Okay. A. & Niv, Y. Statistical computations underlying the dynamics of reminiscence updating. PLoS Comput. Biol. 10, e1003939 (2014).
Hulst, T. et al. Cerebellar degeneration reduces reminiscence resilience after prolonged coaching. Preprint at bioRxiv https://doi.org/10.1101/2020.07.03.185959 (2021).
Pekny, S. E., Criscimagna-Hemminger, S. E. & Shadmehr, R. Coverage and expression of human motor reminiscences. J. Neurosci. 31, 13829–13839 (2011).
Rescorla, R. A. & Heth, C. D. Reinstatement of concern to an extinguished conditioned stimulus. J. Exp. Psychol. Anim. Behav. Procedure. 1, 88–96 (1975).
Berniker, M. & Kording, Okay. Estimating the resources of motor mistakes for adaptation and generalization. Nat. Neurosci. 11, 1454–1461 (2008).
Taylor, J. A., Wojaczynski, G. J. & Ivry, R. B. Trial-by-trial evaluation of intermanual switch throughout visuomotor adaptation. J. Neurophysiol. 106, 3157–3172 (2011).
Kording, Okay. P., Tenenbaum, J. B. & Shadmehr, R. The dynamics of reminiscence as a result of optimum adaptation to a converting frame. Nat. Neurosci. 10, 779–786 (2007).
Heald, J. B., Ingram, J. N., Flanagan, J. R. & Wolpert, D. M. More than one motor reminiscences are realized to regulate other issues on a device. Nat. Hum. Behav. 2, 300–311 (2018).
Coltman, S. Okay., Cashaback, J. G. A. & Gribble, P. L. Each rapid and gradual finding out processes give a contribution to financial savings following sensorimotor adaptation. J. Neurophysiol. 121, 1575–1583 (2019).
Huang, V. S., Haith, A., Mazzoni, P. & Krakauer, J. W. Rethinking motor finding out and financial savings in adaptation paradigms: model-free reminiscence for a hit movements combines with inside fashions. Neuron 70, 787–801 (2011).
Keisler, A. & Shadmehr, R. A shared useful resource between declarative reminiscence and motor reminiscence. J. Neurosci. 30, 14817–14823 (2010).
McDougle, S. D., Ivry, R. B. & Taylor, J. A. Taking goal on the cognitive aspect of finding out in sensorimotor adaptation duties. Traits Cogn. Sci. 20, 535–544 (2016).
McDougle, S. D., Bond, Okay. M. & Taylor, J. A. Particular and implicit processes represent the short and gradual processes of sensorimotor finding out. J. Neurosci. 35, 9568–9579 (2015).
Miyamoto, Y. R., Wang, S. & Smith, M. A. Implicit adaptation compensates for erratic specific technique in human motor finding out. Nat. Neurosci. 23, 443–455 (2020).
Haruno, M., Wolpert, D. M. & Kawato, M. MOSAIC mannequin for sensorimotor finding out and regulate. Neural Comput. 13, 2201–2220 (2001).
Gershman, S. J., Blei, D. M. & Niv, Y. Context, finding out, and extinction. Psychol. Rev. 117, 197–209 (2010).
Sanders, H., Wilson, M. A. & Gershman, S. J. Hippocampal remapping as hidden state inference. eLife 9, e51140 (2020).
Collins, A. & Koechlin, E. Reasoning, finding out, and creativity: frontal lobe serve as and human decision-making. PLoS Biol. 10, e1001293 (2012).
Collins, A. G. E. & Frank, M. J. Cognitive regulate over finding out: growing, clustering, and generalizing task-set construction. Psychol. Rev. 120, 190–229 (2013).
Howard, I. S., Ingram, J. N. & Wolpert, D. M. A modular planar robot manipulandum with end-point torque regulate. J. Neurosci. Strategies 181, 199–211 (2009).
Milner, T. E. & Franklin, D. W. Impedance regulate and inside mannequin use throughout the preliminary degree of adaptation to novel dynamics in people. J. Physiol. 567, 651–664 (2005).
Scheidt, R. A., Reinkensmeyer, D. J., Conditt, M. A., Rymer, W. Z. & Mussa-Ivaldi, F. A. Patience of motor adaptation throughout constrained, multi-joint, arm actions. J. Neurophysiol. 84, 853–862 (2000).
Teh, Y. W., Jordan, M. I., Beal, M. J. & Blei, D. M. Hierarchical Dirichlet processes. J. Am. Stat. Assoc. 101, 1566–1581 (2006).
Fox, E. B., Sudderth, E. B., Jordan, M. I. & Willsky, A. S. An HDP-HMM for programs with state patience. In Proc. twenty fifth Global Convention on Device Studying (eds. McCallum, A. & Roweis, S.) 312–319 (Omnipress, 2008).
Teh, Y. W. in Encyclopedia of Device Studying (eds. Sammut, C. & Webb, G. I.) 280–287 (Springer, 2011).
Carvalho, C. M., Johannes, M. S., Lopes, H. F. & Polson, N. G. Particle finding out and smoothing. Stat. Sci. 25, 88–106 (2010).
Lopes, H. F., Carvalho, C. M., Johannes, M. S., & Polson, N. G. in Bayesian Statistics 9 (eds. Bernardo, J. M. et al.) (Oxford Univ. Press, 2011).
Houlsby, N. et al. Cognitive tomography finds complicated, task-independent psychological representations. Curr. Biol. 23, 2169–2175 (2013).
Acerbi, L. & Ma, W. J. Sensible Bayesian optimization for mannequin becoming with Bayesian adaptive direct seek. In Proc. Advances in Neural Knowledge Processing Techniques (eds. Guyon, I. et al.) 1836–1846 (Curran, 2017).
Jeffreys, H. The Idea of Likelihood (Oxford Univ. Press, 1998).
Li, J., Wang, Z. J., Palmer, S. J. & McKeown, M. J. Dynamic Bayesian community modeling of fMRI: a comparability of group-analysis strategies. Neuroimage 41, 398–407 (2008).