Connectionist and dynamical systems approaches explain human thought, language and
behavior in terms of the emergent consequences of a large number of simple noncognitive …

Connectionist models are used to explore the relationship between cognitive deficits and
biological abnormalities in schizophrenia. Schizophrenic deficits in tasks that tap attention …

A work that reveals the profound links between the evolution, acquisition, and processing of
language, and proposes a new integrative framework for the language sciences. Language …

In this paper three problems for a connectionist account of language are considered 1. What
is the nature of linguistic representations? 2. How can complex structural relationships such …

This groundbreaking monograph offers a mechanistic theory of the representation and use
of semantic knowledge, integrating the strengths and overcoming many of the weaknesses …

Page 1 22 EXPLORATIONS IN 7 PARALLEL DISTRIBUTED PROCESSING A Handbook of
Models, Programs, and Exercises; /// Includes Macintosh Ⓡ Software MACINTOSH VERSION …

A number of ways of taxonomizing human learning have been proposed. We examine the
evidence for one such proposal, namely, that there exist independent explicit and implicit …

The authors present a computational model that builds a holographic lexicon representing
both word meaning and word order from unsupervised experience with natural language …

The complementary learning systems theory of the roles of hippocampus and neocortex
(McClelland, McNaughton, & O'Reilly, 1995) holds that the rapid integration of arbitrary new …

An artificial neural network (ANN) method is applied to forecast the short-term load for a
large power system. The load has two distinct patterns: weekday and weekend-day patterns …