A Connectionist Modeling Approach to Word Recognition and Dyslexia
提出一个联结主义模拟模型来研究单词识别理论，揭示阅读障碍背后的通用原则，对认知科学和阅读研究有重要参考价值。
Word recognition plays an essential role in learning to read, skilled reading, and dyslexia. The goal of the research I describe is to develop a theory of word recognition that is realized as a connectionist simulation model. Experience with a first-generation model suggests that the approach can reveal general principles underlying word recognition and its impairments. Although computational modeling introduces new problems of method and interpretation, it contributes in an essential way to understanding reading and other aspects of cognition.