Internal Models in Biological Control

Overview

Journal Annu Rev Control Robot Auton Syst

Publisher Annual Reviews

Date 2019 May 21

PMID 31106294

Citations 70

Authors

Daniel McNamee

Daniel M Wolpert

Affiliations

Soon will be listed here.

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.

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