| Literature DB >> 16822138 |
George S Cree1, Chris McNorgan, Ken McRae.
Abstract
The authors present data from 2 feature verification experiments designed to determine whether distinctive features have a privileged status in the computation of word meaning. They use an attractor-based connectionist model of semantic memory to derive predictions for the experiments. Contrary to central predictions of the conceptual structure account, but consistent with their own model, the authors present empirical evidence that distinctive features of both living and nonliving things do indeed have a privileged role in the computation of word meaning. The authors explain the mechanism through which these effects are produced in their model by presenting an analysis of the weight structure developed in the network during training. Copyright 2006 APA, all rights reserved.Mesh:
Year: 2006 PMID: 16822138 PMCID: PMC3226832 DOI: 10.1037/0278-7393.32.4.643
Source DB: PubMed Journal: J Exp Psychol Learn Mem Cogn ISSN: 0278-7393 Impact factor: 3.051