Computational principles of movement neuroscience
Abstract
Unifying principles of movement have emerged from the computational study of motor control. We review several of these principles and show how they apply to processes such as motor planning, control, estimation, prediction and learning. Our goal is to demonstrate how specific models emerging from the computational approach provide a theoretical framework for movement neuroscience.
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The forward-model framework holds that the brain simulates motor commands and forecasts the sensory outcomes those commands will produce.
“Forward models incorporate at their core the presupposition that neural systems internally simulate motor (output) commands and predict their perceptual consequences (for review see Wolpert and Ghahramani, 2000).”
From Mental imagery of speech and movement implicates the dynamics of internal forward models (2010) · cites this paper as Wolpert and Ghahramani, 2000
Predictive coding models are well-established in accounting for various features of perception, cognition, and motor control.
“Predictive coding models are now well-established in accounting for various features of perception (Rao and Ballard, 1999; Yuille and Kersten, 2006), cognition (Grush, 2004), and motor control (Wolpert and Ghahramani, 2000)”
From An Interoceptive Predictive Coding Model of Conscious Presence (2012) · cites this paper as Wolpert and Ghahramani, 2000
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- Authors
- Wolpert, D. M., & Ghahramani, Z.
- Affiliations
- National Hospital for Neurology and Neurosurgery (GB)
- Corresponding author
- Wolpert, Daniel M.
- ORCID
- Wolpert, Daniel M.
- Venue
- Nature Neuroscience
- Published
- 2000-11
- Volume
- 3
- Issue
- S11
- Pages
- 1212-1217
- ISSN
- 1097-6256 (ISSN-L)
- 1546-1726
- OpenAlex
- W1779974355
- Cited by
- 2,122
- References
- 5
- Citations by year
- 2026: 65 · 2025: 92 · 2024: 81 · 2023: 86 · 2022: 86 · 2021: 100 · 2020: 107 · 2019: 111 · 2018: 113 · 2017: 78 · 2016: 101 · 2015: 104 · 2014: 111 · 2013: 110 · 2012: 101
- FWCI
- 2.81
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Cambridge University Engineering Department Publications Database (submittedVersion)
- Funders
- Wellcome Trust
- Gatsby Charitable Foundation
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Motor Control and Adaptation
- Life Sciences › Neuroscience › Cognitive Neuroscience › Embodied and Extended Cognition
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Keywords
- motor control, motor planning, motor learning, motor prediction, theoretical framework
- MeSH terms
- Animals, Central Nervous System, Feedback, Humans, Learning, Models, Neurological, Movement, Nerve Net, Neurons, Psychomotor Performance, Sensation
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