R. Mason, und M. Just. Psychological Science, 15 (1):
1-7(2004)
Zusammenfassung
Theoretical models of text processing, such as the construction-integration framework, pose fundamental questions about causal inference making that are not easily addressed by behavioral studies. In particular, a common result is that causal relatedness has a different effect on text reading times than on memory for the text: Whereas reading times increase linearly as causal relatedness decreases, memory for the text is best for events that are related by a moderate degree of causal relatedness and is poorer for events with low and high relatedness. Our functional magnetic resonance imaging study of the processing of two-sentence passages that varied in their degree of causal relatedness suggests that the inference process can be analyzed into two components, generation and integration, that are subserved by two large-scale cortical networks (a reasoning system in dorsolateral prefrontal cortex and the right-hemisphere language areas). These two cortical networks, which are distinguishable from the classical left-hemisphere language areas, approximately correspond to the two functional relations observed in the behavioral results.
%0 Journal Article
%1 mason:bpc
%A Mason, Robert A.
%A Just, Marcel Adam
%D 2004
%J Psychological Science
%K abstraction cerme6 discourse mythesis narrative neurocognition neuroscience situated
%N 1
%P 1-7
%T How the Brain Processes Causal Inferences in Text
%U http://www.ingentaconnect.com/content/bpl/psci/2004/00000015/00000001/art00001
%V 15
%X Theoretical models of text processing, such as the construction-integration framework, pose fundamental questions about causal inference making that are not easily addressed by behavioral studies. In particular, a common result is that causal relatedness has a different effect on text reading times than on memory for the text: Whereas reading times increase linearly as causal relatedness decreases, memory for the text is best for events that are related by a moderate degree of causal relatedness and is poorer for events with low and high relatedness. Our functional magnetic resonance imaging study of the processing of two-sentence passages that varied in their degree of causal relatedness suggests that the inference process can be analyzed into two components, generation and integration, that are subserved by two large-scale cortical networks (a reasoning system in dorsolateral prefrontal cortex and the right-hemisphere language areas). These two cortical networks, which are distinguishable from the classical left-hemisphere language areas, approximately correspond to the two functional relations observed in the behavioral results.
@article{mason:bpc,
abstract = {Theoretical models of text processing, such as the construction-integration framework, pose fundamental questions about causal inference making that are not easily addressed by behavioral studies. In particular, a common result is that causal relatedness has a different effect on text reading times than on memory for the text: Whereas reading times increase linearly as causal relatedness decreases, memory for the text is best for events that are related by a moderate degree of causal relatedness and is poorer for events with low and high relatedness. Our functional magnetic resonance imaging study of the processing of two-sentence passages that varied in their degree of causal relatedness suggests that the inference process can be analyzed into two components, generation and integration, that are subserved by two large-scale cortical networks (a reasoning system in dorsolateral prefrontal cortex and the right-hemisphere language areas). These two cortical networks, which are distinguishable from the classical left-hemisphere language areas, approximately correspond to the two functional relations observed in the behavioral results.},
added-at = {2008-04-27T20:18:21.000+0200},
author = {Mason, Robert A. and Just, Marcel Adam},
biburl = {https://www.bibsonomy.org/bibtex/280f493c0a1a4089a3b6a462f51c1f022/yish},
interhash = {bfdcf7929cc49d49567c0810174c12db},
intrahash = {80f493c0a1a4089a3b6a462f51c1f022},
journal = {Psychological Science},
keywords = {abstraction cerme6 discourse mythesis narrative neurocognition neuroscience situated},
number = 1,
pages = {1-7},
timestamp = {2008-10-04T15:24:08.000+0200},
title = {How the Brain Processes Causal Inferences in Text},
url = {http://www.ingentaconnect.com/content/bpl/psci/2004/00000015/00000001/art00001},
volume = 15,
year = 2004
}