DOC PREVIEW
UCSD COGS 107B - From Basic Network Principles to Neural Architecture

This preview shows page 1-2 out of 6 pages.

Save
View full document
View full document
Premium Document
Do you want full access? Go Premium and unlock all 6 pages.
Access to all documents
Download any document
Ad free experience
View full document
Premium Document
Do you want full access? Go Premium and unlock all 6 pages.
Access to all documents
Download any document
Ad free experience
Premium Document
Do you want full access? Go Premium and unlock all 6 pages.
Access to all documents
Download any document
Ad free experience

Unformatted text preview:

From Basic Network Principles to Neural Architecture: Emergence of Spatial-Opponent CellsRalph Linsker doi:10.1073/pnas.83.19.7508 1986;83;7508-7512 PNAS This information is current as of December 2006. www.pnas.org#otherarticlesThis article has been cited by other articles: E-mail Alerts. click heretop right corner of the article orReceive free email alerts when new articles cite this article - sign up in the box at the Rights & Permissions www.pnas.org/misc/rightperm.shtmlTo reproduce this article in part (figures, tables) or in entirety, see: Reprints www.pnas.org/misc/reprints.shtmlTo order reprints, see: Notes:Proc.Nati.Acad.Sci.USAVol.83,pp.7508-7512,October1986NeurobiologyFrombasicnetworkprinciplestoneuralarchitecture:Emergenceofspatial-opponentcells(modularself-adaptivenetworks/visualsystem/feature-analyzingcells)RALPHLINSKERIBMThomasJ.WatsonResearchCenter,YorktownHeights,NY10598CommunicatedbyRichardL.Garwin,June3,1986ABSTRACTThefunctionalarchitectureofmammalianvisualcortexhasbeenelucidatedinimpressivedetailbyexperimentalworkofthepast20-25years.Theoriginofmanyofthesalientfeaturesofthisarchitecture,however,hasremainedunexplained.Thispaperisthefirstofthree(theotherswillappearinsubsequentissuesoftheseProceedings)thataddresstheoriginandorganizationoffeature-analyzing(spatial-opponentandorientation-selective)cellsinsimplesystemsgovernedbybiologicallyplausibledevelopmentrules.Ianalyzetheprogressivematurationofasystemcomposedofafewlayersofcells,withconnectionsthatdevelopaccordingtoasimplesetofrules(includingHebb-typemodification).Tounderstandtheprenataloriginoforientation-selectivecellsincertainprimates,Iconsiderthecaseinwhichthereisnoexternalinput,withthefirstlayerexhibitingrandomsponta-neouselectricalactivity.Noorientationpreferenceisspecifiedtothesystematanystage,andnoneofthebasicdevelopmentalrulesisspecifictovisualprocessing.HereIintroducethetheoryof"modularself-adaptivenetworks,"ofwhichthissystemisanexample,andexplicitlydemonstratetheemergenceofalayerofspatial-opponentcells.Thissetsthestagefortheemergence,insucceedinglayers,ofanorientation-selectivecellpopulation.Acomplexfunctionalarchitectureformammalianprimaryvisualcortex(andprecorticalstructures)hasbeenexperi-mentallyelucidatedoverthepast20-25years,spearheadedbytheworkofHubelandWiesel(1,2).Howcomplexdotherulesthatspecifythedevelopmentofthisarchitectureneedtobe,andwhataretheorganizingprinciplesforthisspeci-fication?Ihavefoundthatasurprisinglysimplesetofphysiologi-callyandanatomicallyplausiblerulessufficestogeneratemanyofthesalientfeaturesofthisfunctionalarchitecture.Thestartingpointisanetworkcomprisingseveraltwo-dimensionallayersofcells,withconnectionsofunspecifiedstrengthtoeachcellofonelayerfromaneighborhoodofcellsoftheprecedinglayer,andwithagivenruleforupdatingconnectionstrength.Thesynapticconnectionstrengthsreachtheirmaturevaluesundertheinfluenceofthisrule,whichinthepresentworkisofHebbtype(3).Thisisaparticularexampleoftheclassofsystemsthatweshallcall"modularself-adaptivenetworks."Thismeansthatthenetworkarrangementisspecifiedatthemodule(inthiscase,layer)level(e.g.,"layerAprovidesinputtolayerB")andthatasmallamountofstatisticalinformationaboutthecell-to-cellconnectionsisprovided(e.g.,theinitialratioofthenumbersofexcitatoryandinhibitorysynapses)butthatthedetailedconnectionsandtheirstrengthsareunspecifiedandallowedtoemergeduringthedevelopmentofthesystem.Thispapershowshow,andunderwhatconditions,spatial-opponentcells(withcentralexcitatoryandperipheralinhib-itoryinputsatmaturity,orwiththereverse)emergeduringthedevelopmentofsuchalayerednetwork,evenintheabsenceofvisualexperience.Thenextpaperinthisserieswillshowhoworientation-selectivecells(4)(whichrespondmaximallytobarsoredgesofparticularorientation)emergeinsucceedinglayersofthesamesystem.Iemphasizethatthesepapersdealwiththeemergenceofnetworkstructureanddifferentiatedcelltypes,startingwithrulesgoverningconnectionformationandmodification.Theydonotaddressthebiochemicalandothermechanismsbywhichtheselower-levelrulesmaybeimplemented.Wearethusconcernedwiththefollowingquestions.Givensomesimple,biologicallyplausiblerulesforsynapticmodi-ficationandforthebasicstructureofanetwork,andgivenonlyspontaneouselectricalactivity(noenvironmentalin-put),doanybiologicallyinterestingnetworkstructuresemerge?Iftheydo,howconstrainedistheclassofstructuresthatcanarise?Iffeature-analyzingcellsofvarioustypes(e.g.,opponentcellsandorientation-selectivecells)emerge,istheirformationrobust,orisitdependentuponprecisechoicesofinitialconditionsandofmodificationrules?Weconsiderhereasystemhavingasimplegrossarchi-tectureanddevelopmentrule.Thisisinordertolaybarethemechanismsbywhichcertainfeature-analyzingfunctionsobservedinthevisualsystememergeeveninasimplyspecifiedexampleofamodularself-adaptivenetwork.Morecomplicatedassumptions-whichmaybeappropriateifone'sgoalisadetailedmodelofaretinocorticalpathway-maybeanalyzedusingthesameprinciplesas


View Full Document

UCSD COGS 107B - From Basic Network Principles to Neural Architecture

Documents in this Course
Load more
Download From Basic Network Principles to Neural Architecture
Our administrator received your request to download this document. We will send you the file to your email shortly.
Loading Unlocking...
Login

Join to view From Basic Network Principles to Neural Architecture and access 3M+ class-specific study document.

or
We will never post anything without your permission.
Don't have an account?
Sign Up

Join to view From Basic Network Principles to Neural Architecture 2 2 and access 3M+ class-specific study document.

or

By creating an account you agree to our Privacy Policy and Terms Of Use

Already a member?