Brain mechanisms for predictive control by switching internal models: implications for higher-order cognitive functions |
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Authors: | Hiroshi Imamizu Mitsuo Kawato |
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Institution: | (1) Biological Information and Communications Technology Group, National Institute of Information and Communications Technology, 2-2-2, Hikaridai, Keihanna Science City Kyoto, 619-0288, Japan;(2) Computational Neuroscience Laboratories, Advanced Telecommunications Research Institute International, 2-2-2, Hikaridai, Keihanna Science City Kyoto, 619-0288, Japan |
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Abstract: | Humans can guide their actions toward the realization of their intentions. Flexible, rapid and precise realization of intentions
and goals relies on the brain learning to control its actions on external objects and to predict the consequences of this
control. Neural mechanisms that mimic the input–output properties of our own body and other objects can be used to support
prediction and control, and such mechanisms are called internal models. We first summarize functional neuroimaging, behavioral
and computational studies of the brain mechanisms related to acquisition, modular organization, and the predictive switching
of internal models mainly for tool use. These mechanisms support predictive control and flexible switching of intentional
actions. We then review recent studies demonstrating that internal models are crucial for the execution of not only immediate
actions but also higher-order cognitive functions, including optimization of behaviors toward long-term goals, social interactions
based on prediction of others’ actions and mental states, and language processing. These studies suggest that a concept of
internal models can consistently explain the neural mechanisms and computational principles needed for fundamental sensorimotor
functions as well as higher-order cognitive functions.
Electronic supplementary material The online version of this article (doi:) contains supplementary material, which is available to authorized users. |
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