?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=Applying+Slow+Feature+Analysis+to+Image+Sequences+Yields+a+Rich+Repertoire+of+Complex+Cell+Properties&rft.creator=Berkes%2C+Pietro&rft.creator=Wiskott%2C+Laurenz&rft.subject=Neural+Modelling&rft.subject=Computational+Neuroscience&rft.subject=Machine+Vision&rft.subject=Theoretical+Biology&rft.description=We+apply+Slow+Feature+Analysis+(SFA)+to+image+sequences+generated+from+natural+images+using+a+range+of+spatial+transformations.+An+analysis+of+the+resulting+receptive+fields+shows+that+they+have+a+rich+spectrum+of+invariances+and+share+many+properties+with+complex+and+hypercomplex+cells+of+the+primary+visual+cortex.+Furthermore%2C+the+dependence+of+the+solutions+on+the+statistics+of+the+transformations+is+investigated.%0A&rft.publisher=Springer+Verlag&rft.contributor=Dorronsoro%2C+Jos%C3%A9+R.&rft.date=2002&rft.type=Conference+Paper&rft.type=PeerReviewed&rft.format=application%2Fpostscript&rft.identifier=http%3A%2F%2Fcogprints.org%2F2706%2F1%2FI0220.ps&rft.identifier=++Berkes%2C+Pietro+and+Wiskott%2C+Laurenz++(2002)+Applying+Slow+Feature+Analysis+to+Image+Sequences+Yields+a+Rich+Repertoire+of+Complex+Cell+Properties.++%5BConference+Paper%5D+++++&rft.relation=http%3A%2F%2Fcogprints.org%2F2706%2F