Connectionist Modelling in Cognitive Neuropsychology: A Case Study

A Special Issue of Cognitive Neuropsychology

By David C. Plaut, Tim Shallice

© 1994 – Psychology Press

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Paperback: 9781138877030
pub: 2015-06-25
US Dollars$54.95
Hardback: 9780863773365
pub: 1994-09-20
US Dollars$90.00

About the Book

Computational models offer tools for exploring the nature of human cognitive processes. In connectionist, neural network, or parallel distributed processing models, information processing takes the form of cooperative and competitive interactions among many simple, neuron-like processing units. These models provide new ways of thinking about the neural basis of cognitive processes, and how disorders of brain function lead to disorders of cognition.

This monograph is an expanded version of a recent issue of the journal Cognitive Neuropsychology. It presents the most comprehensive existing "case study" of how the effects of damage in connectionist models can replicate the detailed and diverse patterns of cognitive impairments that can arise in humans as a result of brain damage.

It begins with a review of the basic methodology of cognitive neuropsychology and of other attempts at modeling neuropsychological phenomena. It then focuses on a particular form of acquired reading disorder, "deep dyslexia," in which previously literate adults with brain damage exhibit a wide range of symptoms in pronouncing written words, the most striking of which is the production of semantic errors (e.g. reading RIVER as "ocean").

A series of simulations investigate the effects of damage in connectionist models that pronounce written words via their meaning. The work systematically explores each main aspect of the design of the models, identifying the basic computational properties that are responsible for the occurrence of deep dyslexia when the models are damaged.

Although the investigation concerns a specific form of reading impairment, the computational principles that emerge as critical are very general ones: representation of concepts as distributed patterns of activity, encoding of knowledge in terms of weights on connections between units, interactivity between units to form stable attractors for familiar activity patterns, and greater richness of concrete vs. abstract semantics. The fact that damage to models embodying these principles and damage to the brain can produce strikingly similar behaviour supports the view that the human cognitive system operates according to similar principles.

About the Series

Essays in Cognitive Psychology

Essays in Cognitive Psychology is designed to meet the need for rapid publication of brief volumes in cognitive psychology.

Primary topics include perception, movement and action, attention, memory, mental representation, language and problem solving.

Furthermore, the series seeks to define cognitive psychology in its broadest sense, encompassing all topics either informed by, or informing, the study of mental processes. As such, it covers a wide range of subjects including computational approaches to cognition, cognitive neuroscience, social cognition, and cognitive development, as well as areas more traditionally defined as cognitive psychology.

Each volume in the series makes a conceptual contribution to the topic by reviewing and synthesizing the existing research literature, by advancing theory in the area, or by some combination of these missions.

The principal aim is that authors provide an overview of their own highly successful research program in an area.

Volumes also include an assessment of current knowledge and identification of possible future trends in research.

Each book is a self-contained unit supplying the advanced reader with a well-structured review of the work described and evaluated.

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Subject Categories

BISAC Subject Codes/Headings:
PSYCHOLOGY / Neuropsychology