Internal Models in Biological Control
Accepted version
Peer-reviewed
Repository URI
Repository DOI
Change log
Authors
McNamee, Daniel https://orcid.org/0000-0001-9928-4960
Wolpert, DM
Abstract
Rationality principles such as optimal feedback control and Bayesian inference underpin a probabilistic framework that has accounted for a range of empirical phenomena in biological sensorimotor control. To facilitate the optimization of flexible and robust behaviors consistent with these theories, the ability to construct internal models of the motor system and environmental dynamics can be crucial. In the context of this theoretic formalism, we review the computational roles played by such internal models and the neural and behavioral evidence for their implementation in the brain.
Description
Keywords
internal model, state estimation, predictive control, planning, optimal feedback control, Bayesian inference
Journal Title
Annual Review of Control, Robotics, and Autonomous Systems
Conference Name
Journal ISSN
2573-5144
2573-5144
2573-5144
Volume Title
2
Publisher
Annual Reviews
Publisher DOI
Sponsorship
Wellcome Trust (097803/Z/11/Z)
Royal Society (RP120142)
Wellcome Trust (110257/Z/15/Z)
Royal Society (RP120142)
Wellcome Trust (110257/Z/15/Z)