The neural network (or 'brain-style') approach to computing is useful for developing systems to perform tasks humans traditionally do well and that ...
In this paper we use a simple neural net to model the development of spelling in children, and we describe the results of an experiment which shows that the ...
Missing: neuropsychology | Show results with:neuropsychology
In this study, neuroimaging data revealed differential processing in the brain during the spelling of regular words, irregular words, and nonwords. Overall, the ...
May 29, 2018 · We aimed to identify neuroanatomical regions associated with deficits to the graphemic buffer, a working memory component of the spelling ...
Apr 1, 2024 · Artificial neural networks have emerged as computationally plausible models of human language processing. A major criticism of these models ...
Over recent years, neural network models of several cognitive neuropsychological disorders have been developed. These include word recognition difficulties, ...
Such a model is utilized in neuropsychology by inferring, on the basis of a patient's performance, that the neural substrate corresponding to one or more ...
Mar 30, 2024 · We investigated event-related potentials (ERPs) associated with spelling error recognition when performing the orthographic decision task.
Neural Systems for Reading Aloud: A Multiparametric Approach - NCBI
www.ncbi.nlm.nih.gov › PMC2901017
This approach was used to investigate the neural systems that support orthographic, phonological, and semantic processes in reading aloud, using both behavioral ...
The connectionist modeling of reading, spelling, and past tense acquisition is discussed. We show how the same simple pattern association network for all ...