MIT CogNet, The Brain Sciences ConnectionFrom the MIT Press, Link to Online Catalog
SPARC Communities
Subscriber : Stanford University Libraries » LOG IN

space

Powered By Google 
Advanced Search

 

Neural/Cognitive Systems Subserving Living and Nonliving Concepts.

 Beth Coughlin, Tatiana Sitnikova and Phillip Holcomb
  
 

Abstract:
Abstract: Neuropsychological and neuroimaging literature suggests that non-identical neural/cognitive systems subserve semantic memories of living and nonliving things. To examine the nature of the differences between the living/non-living systems, the present study recorded ERPs while participants classified words into tool/animal categories. Our previous study with pictures showed that the fronto-central negativity in the N400 time-window, thought to reflect image-based semantic system activity, was larger to animals than tools, suggesting that this system has special significance for animal concepts. In contrast, the posterior component, believed to be evoked by an amodal semantic system, was larger to tools than animals, showing that tool knowledge may depend more on the amodal system. The present results supported these findings in that words elicited N400-like parietal (N380) and fronto-central (N450) components, the former being larger to tools. Earlier occurrence of the parietal component was consistent with Pavioís dual-coding representation theory that words activate imagistic representations after accessing amodal codes. The anterior component was comparable between tools and animals, which however could be explained by the fact that extensive secondary activation of imagistic representations might not occur as the participantsí task did not require deep semantic processing. Thus, the current results supported the view that although living objects may have more extensive representations in the imagistic system, and non-living objects in the amodal system, involvement of these semantic systems in object processing may depend more on the performed task.

 
 


© 2010 The MIT Press
MIT Logo