When we practice a motor task, we can do it better the next time we revisit it. How is this accomplished? The basic assumption in neuroscience has been that during practice, we learn an association between the stimulus and the appropriate motor commands. However, it has been difficult to reconcile this view with two basic behavioral results: (1) when learning is followed by a long period of washout (removal of the perturbation), the motor memory appears protected from erasure (termed ?savings?). How is it that learning followed by washout does not erase the association between stimulus and motor commands? (2) When washout is following by learning of the opposite perturbation, subjects exhibit meta-learning, i.e., performance is better than nave in a perturbation opposite to the one that they had initially learned. How could learning to associate a stimulus to one direction of motor commands followed by washout help in learning in the opposite direction? Here, we approach these problems from a new perspective: the neural architecture that supports motor learning in the cerebellum. We propose that in the cerebellum, micro-clusters of Purkinje cells (P-cells) are organized based on their preference for error. This preference is expressed in their complex-spike tuning (encoding of error), which in turn provides a coordinate system in which simple spikes can be understood. The P-cell?s error preference makes it so that when error changes, anatomically distinct P-cell micro-clusters are recruited. As a result, when a perturbation is followed by washout, error changes direction and engages new groups of P-cells, producing a new memory without erasing the old. The same hypothesized anatomy suggests that meta-learning arises not because of similarity of the motor commands, but because of the similarity of errors. Using this hypothesis we show that when simple spikes of P-cells are organized into micro-clusters, an exquisite encoding of motion emerges. We propose to test a host of predictions regarding both the neurophysiological correlates of error-dependent learning in the cerebellum, and its behavioral correlates of savings and meta-learning in healthy people. Finally, we use the theory to better understand a latent form of motor learning in people with damage to their cerebellum. From a clinical perspective, our work aims to understand how the brain stores motor memories, and how it up-regulates learning from error, questions that are relevant to motor rehabilitation following neuro- trauma and disease. Our theory provides a recipe to modulate error-sensitivity, which should produce faster motor learning, potentially affecting the duration of rehabilitation.

Public Health Relevance

Our work aims to understand how the brain stores motor memories, and how it up-regulates learning from error, questions that are relevant to motor rehabilitation following neuro-trauma and disease. Our theory provides a recipe to modulate error-sensitivity, which should produce faster motor learning, potentially affecting the duration of rehabilitation.

Agency
National Institute of Health (NIH)
Institute
National Institute of Neurological Disorders and Stroke (NINDS)
Type
Research Project (R01)
Project #
5R01NS078311-10
Application #
10135152
Study Section
Motor Function, Speech and Rehabilitation Study Section (MFSR)
Program Officer
Chen, Daofen
Project Start
2012-09-15
Project End
2022-02-28
Budget Start
2021-03-01
Budget End
2022-02-28
Support Year
10
Fiscal Year
2021
Total Cost
Indirect Cost
Name
Johns Hopkins University
Department
Neurosciences
Type
Schools of Medicine
DUNS #
001910777
City
Baltimore
State
MD
Country
United States
Zip Code
21218
Yoon, Tehrim; Geary, Robert B; Ahmed, Alaa A et al. (2018) Control of movement vigor and decision making during foraging. Proc Natl Acad Sci U S A 115:E10476-E10485
Herzfeld, David J; Kojima, Yoshiko; Soetedjo, Robijanto et al. (2018) Encoding of error and learning to correct that error by the Purkinje cells of the cerebellum. Nat Neurosci 21:736-743
Shadmehr, Reza (2017) Distinct neural circuits for control of movement vs. holding still. J Neurophysiol 117:1431-1460
Shadmehr, Reza (2017) Learning to Predict and Control the Physics of Our Movements. J Neurosci 37:1663-1671
Albert, Scott T; Shadmehr, Reza (2016) The Neural Feedback Response to Error As a Teaching Signal for the Motor Learning System. J Neurosci 36:4832-45
Pekny, Sarah E; Izawa, Jun; Shadmehr, Reza (2015) Reward-dependent modulation of movement variability. J Neurosci 35:4015-24
Herzfeld, David J; Kojima, Yoshiko; Soetedjo, Robijanto et al. (2015) Encoding of action by the Purkinje cells of the cerebellum. Nature 526:439-42
Salimpour, Yousef; Mari, Zoltan K; Shadmehr, Reza (2015) Altering Effort Costs in Parkinson's Disease with Noninvasive Cortical Stimulation. J Neurosci 35:12287-302
Hanajima, Ritsuko; Shadmehr, Reza; Ohminami, Shinya et al. (2015) Modulation of error-sensitivity during a prism adaptation task in people with cerebellar degeneration. J Neurophysiol 114:2460-71
Vaswani, Pavan A; Shmuelof, Lior; Haith, Adrian M et al. (2015) Persistent residual errors in motor adaptation tasks: reversion to baseline and exploratory escape. J Neurosci 35:6969-77

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