--- 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: ~ commentary: ~ commref: ~ confdates: ~ conference: ~ confloc: ~ 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 edit_lock_since: ~ edit_lock_until: ~ edit_lock_user: ~ editors_id: [] editors_name: [] eprint_status: archive eprintid: 5917 fileinfo: /style/images/fileicons/application_pdf.png;/5917/1/ghirlanda_enquist07trs.pdf full_text_status: public importid: ~ institution: ~ isbn: ~ ispublished: pub issn: ~ item_issues_comment: [] item_issues_count: 0 item_issues_description: [] item_issues_id: [] item_issues_reported_by: [] item_issues_resolved_by: [] item_issues_status: [] item_issues_timestamp: [] item_issues_type: [] 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