Reading List

Philosophy

Krakauer, J. W., Ghazanfar, A. A., Gomez-Marin, A., MacIver, M. A., & Poeppel, D. (2017). Neuroscience needs behavior: correcting a reductionist bias. Neuron, 93(3), 480-490.

Marr, D. (2010). Vision: A computational investigation into the human representation and processing of visual information. MIT press.

Reviews of motor learning and motor control

Haith, A. M., & Krakauer, J. W. (2013). Theoretical models of motor control and motor learning. In Routledge Handbook of Motor Control and Motor Learning (pp. 7-28). Taylor and Francis.

Kim, H. E., Avraham, G., & Ivry, R. B. (2021). The psychology of reaching: action selection, movement implementation, and sensorimotor learning. Annual review of psychology, 72, 61-95.

Krakauer, J. W., Hadjiosif, A. M., Xu, J., Wong, A. L., & Haith, A. M. (2011). Motor Learning. Comprehensive Physiology, 9(2), 613-663.

Shadmehr, R., Smith, M. A., & Krakauer, J. W. (2010). Error correction, sensory prediction, and adaptation in motor control. Annual review of neuroscience, 33, 89–108.

Wolpert, D. M., Diedrichsen, J., & Flanagan, J. R. (2011). Principles of sensorimotor learning. Nature reviews neuroscience, 12(12), 739-751.

Motor planning

Churchland, M. M., Afshar, A., & Shenoy, K. V. (2006). A Central Source of Movement Variability. Neuron, 52(6), 1085–1096.

Gordon, J., Ghilardi, M. F., & Ghez, C. (1994). Accuracy of planar reaching movements—I. Independence of direction and extent variability. Experimental Brain Research, 99(1), 97–111.

Haith, A. M., Pakpoor, J., & Krakauer, J. W. (2016). Independence of movement preparation and movement initiation. Journal of Neuroscience, 36(10), 3007-3015.

Hudson, T. E., & Landy, M. S. (2012). Motor learning reveals the existence of multiple codes for movement planning. Journal of Neurophysiology, 108(10), 2708–2716.

Optimal feedback control

Diedrichsen, J., Shadmehr, R., & Ivry, R. B. (2010). The coordination of movement: Optimal feedback control and beyond. Trends in Cognitive Sciences, 14(1), 31–39.

Motor adaptation

Bond, K. M., & Taylor, J. A. (2015). Flexible explicit but rigid implicit learning in a visuomotor adaptation task. Journal of Neurophysiology, 113(10), 3836–3849.

Burge, J., Ernst, M. O., & Banks, M. S. (2008). The statistical determinants of adaptation rate in human reaching. Journal of Vision, 8(4), 20.1-2019.

Cameron, B. D., Franks, I. M., Timothy Inglis, J., & Chua, R. (2010). Reach adaptation to explicit vs. implicit target error. Experimental brain research, 203, 367-380.

Hudson, T. E., & Landy, M. S. (2012b). Measuring adaptation with a sinusoidal perturbation function. Journal of Neuroscience Methods, 208(1), 48–58.

Hudson, T. E., & Landy, M. S. (2016). Sinusoidal error perturbation reveals multiple coordinate systems for sensorymotor adaptation. Vision Research, 119, 82–98.

Izawa, J., & Shadmehr, R. (2011). Learning from sensory and reward prediction errors during motor adaptation. PLoS computational biology, 7(3), e1002012–e1002012.

Kim, H. E., Morehead, J. R., Parvin, D. E., Moazzezi, R., & Ivry, R. B. (2018). Invariant errors reveal limitations in motor correction rather than constraints on error sensitivity. Communications Biology, 1(1), 19.

Kim, H. E., Parvin, D. E., & Ivry, R. B. (2019). The influence of task outcome on implicit motor learning. ELife, 8, e39882.

Krakauer, J. W., Pine, Z. M., Ghilardi, M. F., & Ghez, C. (2000). Learning of visuomotor transformations for vectorial planning of reaching trajectories. Journal of neuroscience, 20(23), 8916-8924.

Mazzoni, P., & Krakauer, J. W. (2006). An implicit plan overrides an explicit strategy during visuomotor adaptation. Journal of Neuroscience, 26(14), 3642–3645.

Morehead, J. R., Taylor, J. A., Parvin, D. E., & Ivry, R. B. (2017). Characteristics of Implicit Sensorimotor Adaptation Revealed by Task-irrelevant Clamped Feedback. Journal of Cognitive Neuroscience, 29(6), 1061–1074.

Taylor, J. A., & Ivry, R. B. (2011). Flexible cognitive strategies during motor learning. *PLoS computational biology(, 7(3), e1001096.

Taylor, J. A., Krakauer, J. W., & Ivry, R. B. (2014). Explicit and Implicit Contributions to Learning in a Sensorimotor Adaptation Task. Journal of Neuroscience, 34(8), 3023–3032.

Tsay, J. S., Haith, A. M., Ivry, R. B., & Kim, H. E. (2022). Interactions between sensory prediction error and task error during implicit motor learning. PLoS Computational Biology, 18(3), e1010005.

Tsay, J. S., Kim, H., Haith, A. M., & Ivry, R. B. (2022). Understanding implicit sensorimotor adaptation as a process of proprioceptive re-alignment. Elife, 11, e76639.

Wei, K., & Kording, K. (2009). Relevance of error: what drives motor adaptation?. Journal of neurophysiology, 101(2), 655-664.

Error detection

Gaffin-Cahn, E., Hudson, T. E., & Landy, M. S. (2019). Did I do that? Detecting a perturbation to visual feedback in a reaching task. Journal of vision, 19(1), 5-5.

Motor variability

Ranjan, T., Smith, M. A. (2018). Cancellation of internally-generated errors from the signal driving motor adaptation. Advances in Motor Learning and Motor Control (MLMC).

Ranjan, T., Smith, M. A. (2020). Implicit motor adaptation is driven by motor performance prediction error rather than sensory prediction error. Advances in Motor Learning and Motor Control (MLMC).

Savings

Haith, A. M., Huberdeau, D. M., & Krakauer, J. W. (2015). The Influence of Movement Preparation Time on the Expression of Visuomotor Learning and Savings. Journal of Neuroscience, 35(13), 5109–5117.

Huberdeau, D. M., Krakauer, J. W., & Haith, A. M. (2019). Practice induces a qualitative change in the memory representation for visuomotor learning. Journal of neurophysiology, 122(3), 1050-1059.

Morehead, J. R., Qasim, S. E., Crossley, M. J., & Ivry, R. (2015). Savings upon Re-Aiming in Visuomotor Adaptation. Journal of Neuroscience, 35(42), 14386–14396.

Smith, M. A., Ghazizadeh, A., & Shadmehr, R. (2006). Interacting Adaptive Processes with Different Timescales Underlie Short-Term Motor Learning. PLoS Biology, 4(6), e179.

Use-dependent learning

Diedrichsen, J., White, O., Newman, D., & Lally, N. (2010). Use-Dependent and Error-Based Learning of Motor Behaviors. Journal of Neuroscience, 30(15), 5159–5166.

Marinovic, W., Poh, E., Rugy, A. de, & Carroll, T. J. (2017). Action history influences subsequent movement via two distinct processes. ELife, 6, e26713.

Tsay, J. S., Kim, H. E., Saxena, A., Parvin, D. E., Verstynen, T., & Ivry, R. B. (2022). Dissociable use-dependent processes for volitional goal-directed reaching. Proceedings of the Royal Society B: Biological Sciences, 289(1973), 20220415.

Verstynen, T., & Sabes, P. N. (2011). How Each Movement Changes the Next: An Experimental and Theoretical Study of Fast Adaptive Priors in Reaching. Journal of Neuroscience, 31(27), 10050–10059.

Skills and Habits

Du, Y., Krakauer, J. W., & Haith, A. M. (2022). The relationship between habits and motor skills in humans. Trends in cognitive sciences, 26(5), 371-387.

Haith, A. M., & Krakauer, J. W. (2018). The multiple effects of practice: Skill, habit and reduced cognitive load. Current Opinion in Behavioral Sciences, 20, 196–201.

Hardwick, R. M., Forrence, A. D., Krakauer, J. W., & Haith, A. M. (2019). Time-dependent competition between goal-directed and habitual response preparation. Nature Human Behaviour, 1–11.

Telgen, S., Parvin, D., & Diedrichsen, J. (2014). Mirror Reversal and Visual Rotation Are Learned and Consolidated via Separate Mechanisms: Recalibrating or Learning De Novo?. Journal of Neuroscience, 34(41), 13768–13779.

Neurologic disease and motor processes

Mazzoni, P., Hristova, A., & Krakauer, J. W. (2007). Why Don’t We Move Faster? Parkinson’s Disease, Movement Vigor, and Implicit Motivation. Journal of Neuroscience, 27(27), 7105–7116.

Mazzoni, P., Shabbott, B., & Cortes, J. C. (2012). Motor Control Abnormalities in Parkinson’s Disease. Cold Spring Harbor Perspectives in Medicine, 2(6), a009282–a009282.

Tseng, Y. W., Diedrichsen, J., Krakauer, J. W., Shadmehr, R., & Bastian, A. J. (2007). Sensory prediction errors drive cerebellum-dependent adaptation of reaching. Journal of Neurophysiology, 98(1), 54–62.

Reading and writing scientific papers

Mensh, B., & Kording, K. (2017). Ten simple rules for structuring papers. PLOS Computational Biology, 13(9), e1005619.

Wallisch, P. (2020). How to Read a Scientific Article: The QDAFI Method of Structured Relevant Gist. Critical Reading Across the Curriculum: Volume 2: Social and Natural Sciences, 152-164.