Human participants and recurrent ("connectionist") neural networks were both trained on a categorization system abstractly similar to natural language systems involving irregular ("strong") classes and a default class. Both the humans and the networks exhibited staged learning and a generalization pattern reminiscent of the…

Objective: Functional neuroimaging studies have led to a significantly deeper understanding of the underlying neural correlates and the development of several mature models of depression in adults. In contrast, our current understanding of the underlying neural substrates of adolescent depression is very limited. Although numerous studies have…

J. T. Wixted argued that nearly every recent study that was designed to differentially test the unequal-variance signal-detection (UVSD) and dual-process signal-detection (DPSD) models has yielded findings that strongly support the UVSD model. C. M. Parks and A. P. Yonelinas did not address these studies in detail and instead focused mainly on…

Paper examines the underlying mechanisms of three neural network models in an attempt to simplify the diverse details involved in specific neural modelling and simulation. (Author)

Compares models and theories of modern rhetoric and traditional composition, initially lamenting the complexities of the former and simplicity of the latter. On closer examination, the article decries the "science" of modern rhetoric, predicting an even greater departure in the future from the creative aspects of composition. (HTH)

The dichotomy of language acquisition versus language learning is critically examined by comparing the concepts presented in Krashen's Monitor Model and Stevick's Levertov Machine to information from the field of neurophysiology regarding the brain's processes. It is proposed that support exists for the theory that two very different processes…