scholarly journals Action-Effect Bindings and Ideomotor Learning in Intention- and Stimulus-Based Actions

2012 ◽  
Vol 3 ◽  
Author(s):  
Arvid Herwig ◽  
Florian Waszak
2007 ◽  
Vol 60 (11) ◽  
pp. 1540-1554 ◽  
Author(s):  
Arvid Herwig ◽  
Wolfgang Prinz ◽  
Florian Waszak

Human actions may be driven endogenously (to produce desired environmental effects) or exogenously (to accommodate to environmental demands). There is a large body of evidence indicating that these two kinds of action are controlled by different neural substrates. However, only little is known about what happens—in functional terms—on these different “routes to action”. Ideomotor approaches claim that actions are selected with respect to their perceptual consequences. We report experiments that support the validity of the ideomotor principle and that, at the same time, show that it is subject to a far-reaching constraint: It holds for endogenously driven actions only! Our results suggest that the activity of the two “routes to action” is based on different types of learning: The activity of the system guiding stimulus-based actions is accompanied by stimulus–response (sensorimotor) learning, whereas the activity of the system controlling intention-based actions results in action–effect (ideomotor) learning.


PLoS ONE ◽  
2015 ◽  
Vol 10 (3) ◽  
pp. e0121617 ◽  
Author(s):  
Frédérique Bunlon ◽  
Peter J. Marshall ◽  
Lorna C. Quandt ◽  
Cedric A. Bouquet

2018 ◽  
Vol 44 (8) ◽  
pp. 1186-1198 ◽  
Author(s):  
Robert Wirth ◽  
Robert Steinhauser ◽  
Markus Janczyk ◽  
Marco Steinhauser ◽  
Wilfried Kunde

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Betina Korka ◽  
Erich Schröger ◽  
Andreas Widmann

AbstractOur brains continuously build and update predictive models of the world, sources of prediction being drawn for example from sensory regularities and/or our own actions. Yet, recent results in the auditory system indicate that stochastic regularities may not be easily encoded when a rare medium pitch deviant is presented between frequent high and low pitch standard sounds in random order, as reflected in the lack of sensory prediction error event-related potentials [i.e., mismatch negativity (MMN)]. We wanted to test the implication of the predictive coding theory that predictions based on higher-order generative models—here, based on action intention, are fed top-down in the hierarchy to sensory levels. Participants produced random sequences of high and low pitch sounds by button presses in two conditions: In a “specific” condition, one button produced high and the other low pitch sounds; in an “unspecific” condition, both buttons randomly produced high or low-pitch sounds. Rare medium pitch deviants elicited larger MMN and N2 responses in the “specific” compared to the “unspecific” condition, despite equal sound probabilities. These results thus demonstrate that action-effect predictions can boost stochastic regularity-based predictions and engage higher-order deviance detection processes, extending previous notions on the role of action predictions at sensory levels.


2012 ◽  
Vol 3 ◽  
Author(s):  
Paul S. Muhle-Karbe ◽  
Ruth M. Krebs
Keyword(s):  

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