?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=General+Principles+for+Brain+Design&rft.creator=Josephson%2C+Brian+D.&rft.subject=Neural+Modelling&rft.subject=Complexity+Theory&rft.description=The+task+of+understanding+how+the+brain+works+has+met+with+only+limited+success+since+important+design%0Aconcepts+are+not+as+yet+incorporated+in+the+analysis.+Relevant+concepts+can+be+uncovered+by+studying+the+powerful%0Amethodologies+that+have+evolved+in+the+context+of+computer+programming%2C+raising+the+question+of+how+the+concepts%0Ainvolved+there+can+be+realised+in+neural+hardware.+Insights+can+be+gained+in+regard+to+such+issues+through+the+study+of%0Athe+role+played+by+models+and+representation.+These+insights+lead+on+to+an+appreciation+of+the+mechanisms+underlying%0Asubtle+capacities+such+as+those+concerned+with+the+use+of+language.+A+precise%2C+essentially+mathematical+account+of+such+capacities+is+in+prospect+for+the+future.&rft.publisher=American+Institute+of+Physics&rft.contributor=Dubois%2C+Prof.+Daniel+M.&rft.date=2005&rft.type=Conference+Paper&rft.type=PeerReviewed&rft.format=application%2Fpdf&rft.identifier=http%3A%2F%2Fcogprints.org%2F4650%2F1%2FCASYS2005_final.pdf&rft.identifier=++Josephson%2C+Brian+D.++(2005)+General+Principles+for+Brain+Design.++%5BConference+Paper%5D++++(In+Press)++&rft.relation=http%3A%2F%2Fcogprints.org%2F4650%2F