Motor Learning and Motor Planning
Motor learning is the set of processes by which practice and experience lead to relatively permanent changes in the capability for skilled movement; motor planning is the preparation of a movement before it is executed. Together they explain how new movements are acquired, refined, and adapted, and they underpin how physiotherapists structure practice during movement re-education.
Definition
Motor learning is a relatively permanent improvement in the capability to perform a skilled movement that results from practice or experience; motor planning (motor programming) is the central preparation of the parameters of a movement before and during its execution.
Scope
This topic covers theories of how movements are programmed and learned, the distinction between performance and learning, the role of feedback and practice structure, and motor adaptation to altered conditions. It is a reference-educational treatment of the principles of motor learning and planning, not a protocol for designing individual treatment programmes.
Core questions
- How is a movement prepared and parameterised before it is executed?
- What distinguishes a temporary change in performance from durable learning?
- How do feedback, practice variability, and error drive motor adaptation and skill acquisition?
Key concepts
- Generalised motor programme
- Performance versus learning distinction
- Knowledge of results and knowledge of performance
- Practice structure (blocked vs random, constant vs variable)
- Motor adaptation and aftereffects
- Forward and inverse models
- Stages of skill acquisition
Key theories
- Schema theory of motor learning
- Schmidt proposed that learners abstract generalised motor programmes plus recall and recognition schemas from variable practice, which lets them parameterise movements for novel situations rather than storing each movement separately.
- Internal-model / sensorimotor integration account
- Motor planning is thought to rely on internal models that predict the sensory consequences of motor commands; learning updates these models so that movements remain accurate when the body or environment changes.
Mechanisms
Before a movement, the nervous system specifies its parameters using a predictive (forward) internal model that estimates the expected sensory outcome; the difference between predicted and actual outcome is a learning signal (Wolpert 1995). When the dynamics of a task are altered, people adapt by updating an internal representation of those dynamics, producing characteristic aftereffects when the alteration is removed (Shadmehr 1994). Across many repetitions, learners are thought to abstract generalised programmes and schemas that support transfer to new versions of a task, which is why variable practice can aid retention even when it slows immediate performance (Schmidt 1975; Krakauer 2019). A central theme is that conditions that improve performance during practice do not always improve durable learning, so retention and transfer, not in-session performance, are the markers of learning (Shumway-Cook 2017).
Clinical relevance
Principles of motor learning give physiotherapists a vocabulary for thinking about how practice, feedback, and task variation may influence movement re-education, and for distinguishing temporary gains within a session from durable change. This topic describes the science of how movement is learned and planned; it is not a prescription for the dose, schedule, or selection of exercises for an individual.
Evidence & guidelines
The topic is grounded in experimental psychology and motor neuroscience rather than clinical guidelines. Foundational accounts include Schmidt's schema theory (1975) and internal-model studies of adaptation (Wolpert 1995; Shadmehr 1994), synthesised in contemporary reviews (Krakauer 2019) and rehabilitation textbooks (Shumway-Cook & Woollacott 2017).
History
Early-to-mid twentieth-century work treated motor skills largely in behavioural terms, culminating in Schmidt's 1975 schema theory, which framed learning as the abstraction of generalised programmes from variable practice. From the 1990s, computational neuroscience reframed planning and learning around internal models and prediction error, with adaptation paradigms (force fields, visuomotor rotation) providing quantitative measures of how movement representations are updated.
Debates
- Are performance gains during practice a good index of learning?
- A persistent finding is that some practice conditions improve within-session performance but not retention or transfer, so motor-learning research distinguishes performance from learning and treats retention and transfer as the true measures.
Key figures
- Richard Schmidt
- Daniel Wolpert
- Reza Shadmehr
- John Krakauer
- Anne Shumway-Cook
Related topics
Seminal works
- schmidt-1975
- wolpert-1995
- shadmehr-1994
- krakauer-2019
Frequently asked questions
- What is the difference between motor learning and motor performance?
- Performance is how well a movement is executed at a given moment, which can fluctuate with fatigue, motivation, or practice conditions. Learning is a relatively permanent change in the capability for the movement, assessed by retention and transfer rather than by in-session performance.
- What is motor adaptation?
- Motor adaptation is the gradual adjustment of movement to a sustained change in the body or environment, such as an added load. When the change is removed, movements briefly show aftereffects, which is evidence that an internal representation of the new dynamics was updated.