No CrossRef data available.
Article contents
Prototypes and portability in artificial neural network models
Published online by Cambridge University Press: 30 August 2019
Abstract
The Page target article is interesting because of apparent coverage of many psychological phenomena with simple, unified neural techniques. However, prototype phenomena cannot be covered because the strongest response would be to the first-learned stimulus in each category rather than to a prototype stimulus or most frequently presented stimuli. Alternative methods using distributed coding can also achieve portability of network knowledge.
- Type
- Brief Report
- Information
- Copyright
- 2000 Cambridge University Press