?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=Artificial+neural+networks+as+models+of+stimulus+control&rft.creator=Ghirlanda%2C+Stefano&rft.creator=Enquist%2C+Magnus&rft.subject=Ethology&rft.subject=Computational+Neuroscience&rft.subject=Neural+Nets&rft.subject=Animal+Behavior&rft.description=We+evaluate+the+ability+of+artificial+neural+network+models+(multi-layer+perceptrons)+to+predict+stimulus-%C2%ADresponse+relationships.+A+variety+of+empirical+results+are+considered%2C+such+as+generalization%2C+peak-shift+(supernormality)+and+stimulus+intensity+effects.+The+networks+were+trained+on+the+same+tasks+as+the+animals+in+the+considered+experiments.+The+subsequent+generalization+tests+on+the+networks+showed+that+the+model+replicates+correctly+the+empirical+results.+It+is+concluded+that+these+models+are+valuable+tools+in+the+study+of+animal+behaviour.%0A&rft.date=1998&rft.type=Journal+(Paginated)&rft.type=PeerReviewed&rft.format=application%2Fpdf&rft.identifier=http%3A%2F%2Fcogprints.org%2F5271%2F1%2Fghirlanda_enquist1998.pdf&rft.identifier=++Ghirlanda%2C+Stefano+and+Enquist%2C+Magnus++(1998)+Artificial+neural+networks+as+models+of+stimulus+control.++%5BJournal+(Paginated)%5D+++++&rft.relation=http%3A%2F%2Fcogprints.org%2F5271%2F