Manuel Carreiras Jonathan Grainger Manuel Carreiras
This special issue samples the state of the art in research that attempts to describe the functional units that intervene between low-level perceptual processes and access to whole-word representations in long-term memory during visual word
This special issue samples the state of the art in research that attempts to describe the functional units that intervene between low-level perceptual...
Begins with a comprehensive review of the nature of morphological priming, followed by a series of experimental papers that examine morphological processing in a variety of languages such as English, Danish, Dutch, Finnish, Chinese, and Spanish. This title makes use of a cross-linguistic perspective.
Begins with a comprehensive review of the nature of morphological priming, followed by a series of experimental papers that examine morphological proc...
Computational modeling has tremendously advanced our understanding of the processes involved in normal and impaired reading. While previous research has mainly focused on simulating reading aloud of monosyllabic words in English, the present special issue highlights some new directions in the field of word recognition and reading aloud. These new lines of research include the learning orthographic and phonological representations in both supervised and unsupervised networks, and the extension of existing models to multi-syllabic word processing both in English and in other languages, such...
Computational modeling has tremendously advanced our understanding of the processes involved in normal and impaired reading. While previous researc...
This volume provides an overview of a relatively neglected branch of connectionism known as localist connectionism. The singling out of localist connectionism is motivated by the fact that some critical modeling strategies have been more readily applied in the development and testing of localist as opposed to distributed connectionist models (models using distributed hidden-unit representations and trained with a particular learning algorithm, typically back-propagation). One major theme emerging from this book is that localist connectionism currently provides an interesting means of evolving...
This volume provides an overview of a relatively neglected branch of connectionism known as localist connectionism. The singling out of localist conne...
