Abstract:
:Trial-to-trial variability in the execution of movements and motor skills is ubiquitous and widely considered to be the unwanted consequence of a noisy nervous system. However, recent studies have suggested that motor variability may also be a feature of how sensorimotor systems operate and learn. This view, rooted in reinforcement learning theory, equates motor variability with purposeful exploration of motor space that, when coupled with reinforcement, can drive motor learning. Here we review studies that explore the relationship between motor variability and motor learning in both humans and animal models. We discuss neural circuit mechanisms that underlie the generation and regulation of motor variability and consider the implications that this work has for our understanding of motor learning.
journal_name
Annu Rev Neuroscijournal_title
Annual review of neuroscienceauthors
Dhawale AK,Smith MA,Ölveczky BPdoi
10.1146/annurev-neuro-072116-031548subject
Has Abstractpub_date
2017-07-25 00:00:00pages
479-498eissn
0147-006Xissn
1545-4126journal_volume
40pub_type
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