creators_name: Ghirlanda, Stefano
creators_name: Enquist, Magnus
creators_id: stefano.ghirlanda@unibo.it
creators_id: 
type: journalp
datestamp: 2008-01-30 15:48:26
lastmod: 2011-03-11 08:57:03
metadata_visibility: show
title: How training and testing histories affect generalization: a test of simple neural networks
ispublished: pub
subjects: bio-ani-cog
subjects: comp-neuro-sci
subjects: neuro-mod
subjects: bio-etho
subjects: bio-ani-behav
subjects: comp-psy
full_text_status: public
abstract:   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 1)
  ``errorless learning'' and 2) extinction testing on peak shift, and
  3) the central tendency effect. These findings provide a true test
  of the network model, which was developed to account for other
  penhomena, and highlight the potential of neural networks to study
  phenomena that depend on sequences of experiences with many stimuli.
  Our results suggest that at least some such phenomena, e.g.,
  stimulus range effects, may derive from basic mechanisms of
  associative memory rather than from more complex memory processes.
date: 2007
date_type: published
publication: Philosophical Transactions of the Royal Society
volume: B362
pagerange: 449-454
refereed: TRUE
citation:   Ghirlanda, Stefano and Enquist, Magnus  (2007) How training and testing histories affect generalization: a test of simple neural networks.  [Journal (Paginated)]     
document_url: http://cogprints.org/5917/1/ghirlanda_enquist07trs.pdf