Interplay between computational models and cognitive electrophysiology in visual word recognition

被引:142
作者
Barber, Horacio A. [1 ]
Kutas, Marta
机构
[1] Univ Calif San Diego, Dept Cognit Sci, La Jolla, CA 92103 USA
[2] Univ Calif San Diego, Dept Neurosci, La Jolla, CA USA
关键词
language; reading; visual word recognition; computational model; event-related potential (ERP); EEG; MEG; cognitive electrophysiology;
D O I
10.1016/j.brainresrev.2006.07.002
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
In this article, we discuss the relevance of electrophysiological data to the enterprise of analyzing and understanding the reading process. Specifically, we detail how the event-related brain potential (ERP) technique (and its magnetic counterpart) can aid in development of models of visual word recognition. Any viable and accurate account of reading must take into account the temporal and anatomical constraints imposed by the fact that reading is a human brain function. We believe that neurophysiological (especially, although not limited to electrophysiological) data can serve an essential reference in the development of biologically realistic models of reading. We assess just how well extant electrophysiological data comport with specific predictions of existing computational models and offer some suggestions for the kinds of research that can address some of the remaining open questions. (c) 2006 Elsevier B.V. All rights reserved.
引用
收藏
页码:98 / 123
页数:26
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