IntroductionHumans show an astonishing capability to learn a variety of sensorimotor behaviours ranging from using chopsticks, to cycling a mountain bike. The acquisition of such behaviours is based on learning to represent internal action models through the integration of self‐generated efferent sensorimotor commands, afferent sensorimotor information, visual consequences of a performed action [Elliott et al., ; Shadmehr & Mussa‐Ivaldi, ; Wolpert, Diedrichsen, & Flanagan, ], and terminal feedback regarding the movement outcome [Salmoni, Schmidt, & Walter, ]. Following learning, acquired sensorimotor information is used during planning (efferent commands; e.g., specification of forces) to select appropriate internal action models required to execute goal‐directed movements [Elliott et al., ]. Internal action models also control (via efferent copy) ongoing movements by comparing what was predicted/expected, against online motor and sensory information. They also generalize to other contexts to support decision‐making [Wolpert & Landy, ], where perception of movement related information performed by a person, or an object, is processed and compared against an internal action model [Aglioti, Cesari, Romani, & Urgesi, ; Blakemore & Decety, ] so that an appropriate sensorimotor response is selected.Although these processes are operational in most of the population from a young age, individuals with autism spectrum disorder
Autism Research – Wiley
Published: Jan 1, 2018
Keywords: ; ; ;
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