Learning motor skills evolves from the effortful selection of single movement elements to their combined fast and accurate production. We review recent trends in the study of skill learning which suggest a hierarchical organization of the representations that underlie such expert performance, with premotor areas encoding short sequential movement elements (chunks) or particular component features (timing/spatial organization). This hierarchical representation allows the system to utilize elements of well-learned skills in a flexible manner. One neural correlate of skill development is the emergence of specialized neural circuits that can produce the required elements in a stable and invariant fashion. We discuss the challenges in detecting these changes with fMRI.
What is skill learning?Motor skill learning generally refers to neuronal changes that allow an organism to accomplish a motor task better, faster, or more accurately than before. Beyond this accepted understanding of the common use of the word, there is little agreement in the literature about a more precise, scientific definition. Most researchers, however, agree on what skill learning is not. In other words, skill learning is currently mainly defined by its demarcation from other forms of learning.First, skill learning is generally seen as separate from declarative knowledge [1] -in other words, it is not measured in terms that we can verbalize, but instead by what we can do (but see [2]), thereby falling under the broad umbrella of procedural knowledge. Furthermore, skill learning is usually distinguished from motor adaptation, which is defined as the recalibration of well-trained movements (such as locomotion, eye or reaching movements) to changes in environment [3]. This form of learning involves a parametric change driven by a sensory-prediction error on a trial-by-trial basis, and has been shown to depend on the integrity of the cerebellum [4][5][6].Within these boundaries, the term skill learning refers to improvements in accuracy or speed in a wide variety of tasks, including the serial reaction time [7], fast sequential finger tapping [8] configuration [12] tasks. In contrast to adaptation, skill learning typically involves the generation of a novel movement pattern, and is characterized by shifts in the speed-accuracy relationship [9,10,13].An important characteristic of skill learning is that it involves various levels of the motor hierarchy (see Glossary). The main purpose of this paper is therefore to present a hierarchical framework of motor skill learning, within which we will review current behavioral and neural findings.
Selection versus executionA first division in skill learning can be made between the levels of action selection and action execution [10]. The output of the execution level causes muscle activity -in other words, it includes motor cortical neurons that project to the spinal cord. Recent stimulation and recording studies in primary motor cortex (M1) suggest that small movement elements, so-called motor primit...