Amoruso, L. 1 & Baus, C. . 2
1 BCBL
2 Universitat Pompeu Fabra
Recent research has shown that the motor system typically responsible for action execution and speech production is also active during action and speech perception. It has been proposed that the link between the production and perception systems would be predictive in nature, enabling to anticipate what other person in going to do/say next through covert simulation. Here, we bring together speakers working in the action and in the language domains that employ different methodologies (i.e., fMRI, TMS) with the aim of shedding light into the general mechanisms supporting predictive processing. Furthermore, the core idea of this Symposium is to discuss the possibility of a common mechanistic account for language and action putting the emphasis on the role of the production system in prediction. In Talk 1, Dr. Yon will focus on fMRI results and, using a decoding approach, he will account for the role of sensorimotor predictions during action execution. In Talk 2, Dr. Amoruso will present a series of studies using a TMS-approach to disentangle how context-based predictions modulate simulative motor mapping during action perception. In Talk 3, Dr. Skipper will discuss evidence from fMRI experiments showing that sensorimotor regions associated with speech production are more active prior to words which are predictable from the listening context and that, after word presentation, this activity is reduced, supporting an hypothesis-and-test model of speech perception. Finally, in Talk 4, Dr. Gambi will review evidence from psycholinguistic experiments and discuss the different mechanisms involved in linguistic prediction, emphasizing the role of prediction-by-simulation.
S 2.1: Predicting the sensory consequences of action. D. Yon, Gilbert S, de Lange F. & Press C.
S 2.2: Context-based predictions modulate simulative motor mapping during action observation. L. Amoruso, A. Finisguerra & C. Urgesi
S 2.3: Brain organization in anticipation of predictable words. : J. Skipper
S 2.4: Hallmarks of prediction-by-production. C. Gambi, & M. J. Pickering