ABSTRACT

Connectionist Models in Cognitive Psychology is a state-of-the-art review of neural network modelling in core areas of cognitive psychology including: memory and learning, language (written and spoken), cognitive development, cognitive control, attention and action. The chapters discuss neural network models in a clear and accessible style, with an emphasis on the relationship between the models and relevant experimental data drawn from experimental psychology, neuropsychology and cognitive neuroscience. These lucid high-level contributions will serve as introductory articles for postgraduates and researchers whilst being of great use to undergraduates with an interest in the area of connectionist modelling.

chapter |5 pages

Units and activation levels

chapter |10 pages

Connections and weights

chapter |5 pages

Unsupervised learning—the Hebb rule

part |2 pages

SECTION ONE Learning

chapter |5 pages

REFERENCES

chapter |14 pages

COGNITIVE NEUROPSYCHOLOGY

chapter |4 pages

REFERENCES

chapter 4|1 pages

Learning involves attention

chapter |24 pages

Shifts of attention facilitate learning

chapter |2 pages

REFERENCES

part |2 pages

SECTION TWO Memory

chapter |17 pages

A summary of principles

chapter |1 pages

COMPARISON WITH OTHER APPROACHES

chapter |4 pages

REFERENCES

chapter |3 pages

Sensory/functional hypothesis

chapter |1 pages

The Farah & McClelland (1991) network

chapter |6 pages

Network representations

chapter |17 pages

Static mechanisms

part |2 pages

SECTION THREE Attention and cognitive control

part |2 pages

SECTION FOUR Language processes

chapter |5 pages

CONCLUSION

chapter |23 pages

LANGUAGE PRODUCTION

chapter |6 pages

CONCLUSIONS

chapter 13|1 pages

Computational models of reading

chapter |8 pages

Psychology of reading

chapter |16 pages

The “triangle” model

chapter |3 pages

COMPARISON OF THE THREE MODELS

chapter |2 pages

Lexical phonology

chapter |12 pages

Accounts of surface dyslexia