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How training and testing histories affect generalization: a test of simple neural networks
We show that a simple network model of associative learning can reproduce three findings that arise from particular training and testing procedures in generalization experiments: the effect of (i) ‘errorless learning’, (ii) extinction testing on peak shift, and (iii) the central tendency effect. The...
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| Main Authors: | , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
The Royal Society
2007
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| Fag: | |
| Online adgang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2323563/ https://ncbi.nlm.nih.gov/pubmed/17255014 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1098/rstb.2006.1972 |
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