?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=A+self-organising+neural+network+for+modelling+cortical+development&rft.creator=Spratling%2C+Michael&rft.creator=Hayes%2C+Gillian&rft.subject=Neural+Nets&rft.description=This+paper+presents+a+novel+self-organising+neural+network.+It+has+been+developed+for+use+as+a+simplified+model+of+cortical+development.++Unlike+many+other+models+of+topological+map+formation+all+synaptic+weights+start+at%0Azero+strength+(so+that+synaptogenesis+might+be+modelled).+In+addition%2C+the+algorithm+works+with+the+same+format+of+encoding+for+both+inputs+to+and+outputs+from+the+network+(so+that+the+transfer+and+recoding+of+information+between+cortical+regions+might+be+modelled).&rft.date=1998&rft.type=Conference+Paper&rft.type=PeerReviewed&rft.format=application%2Fpostscript&rft.identifier=http%3A%2F%2Fcogprints.org%2F1107%2F2%2Fmap_alg.ps&rft.identifier=++Spratling%2C+Michael+and+Hayes%2C+Gillian++(1998)+A+self-organising+neural+network+for+modelling+cortical+development.++%5BConference+Paper%5D+++++&rft.relation=http%3A%2F%2Fcogprints.org%2F1107%2F