---
abstract: " We show that a simple network model of associative learning can\r\n reproduce three findings that arise from particular training and\r\n testing procedures in generalization experiments: the effect of 1)\r\n ``errorless learning'' and 2) extinction testing on peak shift, and\r\n 3) the central tendency effect. These findings provide a true test\r\n of the network model, which was developed to account for other\r\n penhomena, and highlight the potential of neural networks to study\r\n phenomena that depend on sequences of experiences with many stimuli.\r\n Our results suggest that at least some such phenomena, e.g.,\r\n stimulus range effects, may derive from basic mechanisms of\r\n associative memory rather than from more complex memory processes."
altloc: []
chapter: ~
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contact_email: ~
creators_id:
- stefano.ghirlanda@unibo.it
- ''
creators_name:
- family: Ghirlanda
given: Stefano
honourific: ''
lineage: ''
- family: Enquist
given: Magnus
honourific: ''
lineage: ''
date: 2007
date_type: published
datestamp: 2008-01-30 15:48:26
department: ~
dir: disk0/00/00/59/17
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editors_id: []
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eprint_status: archive
eprintid: 5917
fileinfo: /style/images/fileicons/application_pdf.png;/5917/1/ghirlanda_enquist07trs.pdf
full_text_status: public
importid: ~
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isbn: ~
ispublished: pub
issn: ~
item_issues_comment: []
item_issues_count: 0
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keywords: ~
lastmod: 2011-03-11 08:57:03
latitude: ~
longitude: ~
metadata_visibility: show
note: ~
number: ~
pagerange: 449-454
pubdom: FALSE
publication: Philosophical Transactions of the Royal Society
publisher: ~
refereed: TRUE
referencetext: ~
relation_type: []
relation_uri: []
reportno: ~
rev_number: 32
series: ~
source: ~
status_changed: 2008-01-30 15:48:26
subjects:
- bio-ani-cog
- comp-neuro-sci
- neuro-mod
- bio-etho
- bio-ani-behav
- comp-psy
succeeds: ~
suggestions: ~
sword_depositor: ~
sword_slug: ~
thesistype: ~
title: 'How training and testing histories affect generalization: a test of simple neural networks'
type: journalp
userid: 6801
volume: B362