?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=Double+Loops+Flows+and+Bidirectional+Hebb's+Law+in+Neural+Network&rft.creator=Lecerf%2C+Christophe&rft.subject=Dynamical+Systems&rft.subject=Neural+Nets&rft.description=This+paper+presents+the+double+loop+feedback+model%2C+which+is+used+for+structure+and+data+flow+modelling+through+reinforcement+learning+in+an+artificial+neural+network.+We+first+consider+physiological+arguments+suggesting+that+loops+and+double+loops+are+widely+spread+in+the+exchange+flows+of+the+central+nervous+system.+We+then+demonstrate+that+the+double+loop+pattern%2C+named+a+mental+object%2C+works+as+a+functional+memory+unit+and+we+describe+the+main+properties+of+a+double+loop+resonator+built+with+the+classical+Hebb's+law+learning+principle+in+a+feedforward+basis.+In+this+model%2C+we+show+how+some+mental+objects+aggregate+themselves+in+building+blocks%2C+then+what+are+the+properties+of+such+blocks.+We+propose+the+mental+objects+block+as+the+representing+structure+of+a+concept+in+a+neural+network.+We+show+how+the+local+application+of+Hebb's+law+at+the+cell+level+leads+to+the+concept+of+functional+organization+cost+at+the+network+level+(upward+effect)%2C+which+explains+spontaneous+reorganization+of+mental+blocks+(downward+effect).+In+this+model%2C+the+simple+hebbian+learning+paradigm+appears+to+have+emergent+effects+in+both+upward+and+downward+directions.&rft.publisher=SPIE&rft.date=1998&rft.type=Conference+Paper&rft.type=NonPeerReviewed&rft.format=application%2Fpostscript&rft.identifier=http%3A%2F%2Fcogprints.org%2F519%2F1%2FVI-DYNN2W98.ps&rft.format=application%2Fpdf&rft.identifier=http%3A%2F%2Fcogprints.org%2F519%2F5%2FVI-DYNN2W98.pdf&rft.identifier=++Lecerf%2C+Christophe++(1998)+Double+Loops+Flows+and+Bidirectional+Hebb's+Law+in+Neural+Network.++%5BConference+Paper%5D++++(In+Press)++&rft.relation=http%3A%2F%2Fcogprints.org%2F519%2F