Generative adversarial networks as integrated forward and inverse model for motor control

Generative adversarial networks as integrated forward and inverse model for motor control

Internal models are believed to be crucial components in human motor control. It has been suggested that the central nervous system (CNS) uses forward and inverse models as internal representations of the motor systems. However, it is still unclear how the CNS implements the high-dimensional control...

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Bibliographic Details
Main Author: Lenninger, Movitz
Format: Others
Language:English
Published: KTH, Skolan för datavetenskap och kommunikation (CSC) 2017
Subjects:
Generative adversarial networks
Internal models
Motor Control
Other Computer and Information Science
Annan data- och informationsvetenskap
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-220535

Internet

http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-220535

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