Perception and Action Planning

1997 ◽  
Vol 9 (2) ◽  
pp. 129-154 ◽  
Author(s):  
Wolfgang Prinz
2001 ◽  
Vol 24 (5) ◽  
pp. 907-908
Author(s):  
David A. Westwood ◽  
Melvyn A. Goodale

Hommel et al. propose that high-level perception and action planning share a common representational domain, which facilitates the control of intentional actions. On the surface, this point of view appears quite different from an alternative account that suggests that “action” and “perception” are functionally and neurologically dissociable processes. But it is difficult to reconcile these apparently different perspectives, because Hommel et al. do not clearly specify what they mean by “perception” and “action planning.” With respect to the visual control of action, a distinction must be made between conscious visual perception and unconscious visuomotor processing. Hommel et al. must also distinguish between the what and how aspects of action planning, that is, planning what to do versus planning how to do it.


2013 ◽  
Vol 26 (1-2) ◽  
pp. 143-157 ◽  
Author(s):  
Sharon Zmigrod ◽  
Bernhard Hommel

The human brain is facing a continuous stream of stimulus information delivered by multiple modalities and sensory channels and processed in distinct cortical regions. We discuss recent empirical and theoretical developments in addressing the question of how this distributed information is integrated into coherent representations (the so-called binding problem) with an emphasis on the principles and constraints underlying the integration of multiple (rather than redundant) features across different sensory modalities and across perception and action planning.


2016 ◽  
Vol 81 (6) ◽  
pp. 1085-1109 ◽  
Author(s):  
Pascal Haazebroek ◽  
Antonino Raffone ◽  
Bernhard Hommel

2001 ◽  
Vol 24 (5) ◽  
pp. 849-878 ◽  
Author(s):  
Bernhard Hommel ◽  
Jochen Müsseler ◽  
Gisa Aschersleben ◽  
Wolfgang Prinz

Traditional approaches to human information processing tend to deal with perception and action planning in isolation, so that an adequate account of the perception-action interface is still missing. On the perceptual side, the dominant cognitive view largely underestimates, and thus fails to account for, the impact of action-related processes on both the processing of perceptual information and on perceptual learning. On the action side, most approaches conceive of action planning as a mere continuation of stimulus processing, thus failing to account for the goal-directedness of even the simplest reaction in an experimental task. We propose a new framework for a more adequate theoretical treatment of perception and action planning, in which perceptual contents and action plans are coded in a common representational medium by feature codes with distal reference. Perceived events (perceptions) and to-be-produced events (actions) are equally represented by integrated, task-tuned networks of feature codes – cognitive structures we call event codes. We give an overview of evidence from a wide variety of empirical domains, such as spatial stimulus-response compatibility, sensorimotor synchronization, and ideomotor action, showing that our main assumptions are well supported by the data.


Author(s):  
Arthur M. Glenberg

Could two topics be less related than language and action? Both historical and contemporary philosophers have argued that language is separate from perception and action, that it is a higher faculty, or that it is what separates human from animal. The data, however, present an overwhelming case in favor of an intimate relation between language and action. Much of the data and theory derive from considerations of embodied cognition, and so this article begins with a brief overview of that notion. It then considers the relation between language and action from the perspectives of neuroscience, cognitive development, and behavioural research. The article concludes with a theoretical rationale for the relation: the mechanism of action planning is the mechanism that allows us to sensibly combine meanings across words and sentences.


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