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Dynamic-Clamp: From Principles to Applications PDF

428 Pages·2009·16.61 MB·English
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Springer Series in Computational Neuroscience Volume 1 SeriesEditors AlainDestexhe Unite´ deNeurosciencesInte´grativesetComputationnelles(UNIC) CNRS Gif-sur-Yvette France RomainBrette EquipeAudition(ENS/CNRS) De´partementd’E´ tudesCognitives E´ coleNormaleSupe´rieure Paris France Forothertitlespublishedinthisseries,goto www.springer.com/series/8164 Alain Destexhe Thierry Bal l Editors Dynamic-Clamp From Principles to Applications 1 3 Editors AlainDestexhe ThierryBal Unite´ deNeurosciencesInte´gratives Unite´ deNeurosciencesInte´gratives etComputationnelles, etComputationnelles, CNRS,91198Gif-sur-Yvette CNRS,91198Gif-sur-Yvette France France ISBN978-0-387-89278-8 e-ISBN978-0-387-89279-5 DOI10.1007/978-0-387-89279-5 LibraryofCongressControlNumber:2008942719 #SpringerScienceþBusinessMedia,LLC2009 Allrightsreserved.Thisworkmaynotbetranslatedorcopiedinwholeorinpartwithoutthewritten permissionofthepublisher(SpringerScienceþBusinessMedia,LLC,233SpringStreet,NewYork, NY10013,USA),exceptforbriefexcerptsinconnectionwithreviewsorscholarlyanalysis.Usein connectionwithanyformofinformationstorageandretrieval,electronicadaptation,computer software,orbysimilarordissimilarmethodologynowknownorhereafterdevelopedisforbidden. Theuseinthispublicationoftradenames,trademarks,servicemarks,andsimilarterms,evenifthey arenotidentifiedassuch,isnottobetakenasanexpressionofopinionastowhetherornottheyare subjecttoproprietaryrights. Whiletheadviceandinformationinthisbookarebelievedtobetrueandaccurateatthedateof going to press, neither the authors nor the editors nor the publisher can accept any legal responsibilityforanyerrorsoromissionsthatmaybemade.Thepublishermakesnowarranty, expressorimplied,withrespecttothematerialcontainedherein. Printedonacid-freepaper springer.com Preface This book intends to provide an overview of different approaches using the ‘‘dynamic-clamp’’ technique. This technique was introduced many years ago (see ‘‘Introduction’’ for an historical perspective) and enables one to inject artificially generated conductances in living neurons. Because the quantity physically injected by the electrode is a current, which is the product of the conductance with the membrane potential (Ohm’s law), and because the membrane potential itself changes if a current is injected, one needs to continuously update the current to be injected as a function of the changing membranepotentialoftherecordedcell.Injectingaconductancethusrequiresto establishareal-timeloopbetweenthedevicewhichcalculatesthecurrent(usually acomputer)andtherecordedmembranepotential.Thisreal-timeloopisatthe heartofthedynamic-clamptechnique,asillustratedinthechaptersofthebook. The different chapters cover topics ranging from cardiac physiology, dendritic recordings,single-neuronrecordings,aswellascircuitsornetworksinteractions. Werefertotheintroductorychapterforadescriptionofthesechapters,aswellas adetailedintroductionofthedynamic-clamptechnique. Themanyauthorswhohavecontributedtothisbookarenotonlyamongthe initiators of the technique, and among the researchers who have published the mostprestigious articles on dynamicclamp,but theyalsocollectivelyillustrate the great power and the variety of paradigms in which the dynamic-clamp techniqueisused.Theseparadigmsrangefrominjectingartificialconductances incardiaccells,neuronsordendrites,artificiallyconnectdifferentneurons,create ‘‘hybrid’’ networks of real and artificial cells, re-create in vivo conditions by providing a synthetic synaptic background activity, as well as use the dynamic clamp to correct the recording according to a computational model of the electrode. These paradigms show that computational models directly interact withlivingneurons,whichisperhapsoneofthemostspectacularprogressthat hashappenedintheinteractionbetweentheoryandexperimentsinbiology.Our hopeisthatthisbookwillprovideanoverviewoftheseprogressandconvincethe readerthattheoryandexperimentshaveneverbeensoclose. AlainDestexhe Gif-sur-Yvette,France ThierryBal v Contents AssociatingLivingCellsandComputationalModels:anIntroduction toDynamicClampPrinciplesanditsApplications................... 1 ZuzannaPiwkowska,AlainDestexhe,andThierryBal DendriticDynamicClamp–ATooltoStudySingle NeuronComputation......................................... 31 StephenR.Williams SynapticConductancesandSpikeGenerationinCorticalCells......... 49 HughP.C.Robinson SimulatingInVivoBackgroundActivityinaSlice withtheDynamicClamp...................................... 73 FrancesChanceandLarryF.Abbott ImpactofBackgroundSynapticActivityonNeuronalResponse PropertiesRevealedbyStepwiseReplicationofInVivo-Like ConditionsInVitro .......................................... 89 StevenA.PrescottandYvesDeKoninck TestingMethodsforSynapticConductanceAnalysisUsing ControlledConductanceInjectionwithDynamicClamp .............. 115 ZuzannaPiwkowska,MartinPospischil,MichelleRudolph-Lilith, ThierryBal,andAlainDestexhe InVivoDynamic-ClampManipulationofExtrinsicandIntrinsic Conductances:FunctionalRolesofShuntingInhibitionandI inRat BK andCatCortex ............................................. 141 LyleJ.GrahamandAdrienSchramm FunctionsofthePersistentNaþCurrentinCorticalNeuronsRevealed byDynamicClamp .......................................... 165 J.F.Storm,K.Vervaeke,H.Hu,andL.J.Graham vii viii Contents Using‘‘Hard’’Real-TimeDynamicClamptoStudyCellular andNetworkMechanismsofSynchronizationintheHippocampal Formation ................................................. 199 JohnA.White,FernandoR.Fernandez,MichaelN.Economo, andTilmanJ.Kispersky UnravelingtheDynamicsofDeepCerebellarNucleusNeurons withtheApplicationofArtificialConductances..................... 217 DieterJaegerandRisaLin IntrinsicandNetworkContributionstoReverberatoryActivity: ReactiveClampandModelingStudies............................ 237 Jean-MarcFellous,TerrenceJ.Sejnowski,andZanetaNavratilova Dynamic-Clamp-ConstructedHybridCircuitsfortheStudyof SynchronizationPhenomenainNetworksofBurstingNeurons......... 261 CarmenCCanavier,FredH.Sieling,andAstridA.Prinz UsingtheDynamicClamptoExploretheRelationshipBetween IntrinsicActivityandNetworkDynamics ......................... 275 Anne-EliseTobin,RachelGrashow,LamontS.Tang, StefanR.Pulver,andEveMarder Re-CreatingInVivo-LikeActivityandInvestigatingtheSignal TransferCapabilitiesofNeurons:Dynamic-ClampApplications UsingReal-TimeNeuron...................................... 287 GerardSadoc,GwendalLeMasson,BrunoFoutry,YannLeFranc, ZuzannaPiwkowska,AlainDestexhe,andThierryBal UsingtheDynamicClamptoDissectthePropertiesandMechanisms ofIntrinsicThalamicOscillations ............................... 321 StuartW.Hughes,MagorLo¨rincz,DavidW.Cope, andVincenzoCrunelli DynamicClampwithHigh-ResistanceElectrodesUsingActive ElectrodeCompensationInVitroandInVivo...................... 347 RomainBrette,ZuzannaPiwkowska,CyrilMonier, Jose´ FranciscoGo´mezGonza´lez,YvesFre´gnac,ThierryBal, andAlainDestexhe KeyFactorsforImprovingDynamic-ClampPerformance............. 383 RobertButeraandRisaLin Contents ix DevelopmentofaGeneticallyEngineeredCardiacPacemaker: InsightsfromDynamicActionPotentialClampExperiments .......... 399 ArieO.Verkerk,JanG.Zegers,AntoniC.G.vanGinneken, andRonaldWilders Index..................................................... 417 Contributors LarryF.Abbott CenterforNeuroscience,DepartmentofPhysiologyand CellularBiophysics,ColumbiaUniversityCollegeofPhysiciansandSurgeons, NewYork,NY10032-2695,USA ThierryBal Unite´ deNeurosciencesInte´grativesetComputationnelles (UNIC),CNRS,91198Gif-sur-Yvette,France,[email protected] RomainBrette EquipeAudition(ENS/CNRS),De´partementd’E´ tudes Cognitives,E´ coleNormaleSupe´rieure,F-75230ParisCedex05,France, [email protected] RobertButera LaboratoryforNeuroengineering,SchoolofECE,Georgia InstituteofTechnology,Atlanta,GA,USA,[email protected] CarmenC.Canavier NeuroscienceCenterofExcellence,LouisianaState UniversityHealthSciencesCenter,NewOrleans,LA,USA, [email protected] FrancesChance DepartmentofNeurobiologyandBehavior,University ofCalifornia,Irvine,CA92697,USA,[email protected] DavidW.Cope SchoolofBiosciences,CardiffUniversity,CardiffCF103US, UK VincenzoCrunelli SchoolofBiosciences,CardiffUniversity,CardiffCF10 3US,UK AlainDestexhe Unite´ deNeurosciencesInte´grativesetComputationnelles (UNIC),CNRS,91198Gif-sur-Yvette,France,[email protected] MichaelN.Economo DepartmentofBioengineering,BrainInstitute, UniversityofUtah,SaltLakeCity,UT,USA;DepartmentofBiomedical Engineering,BostonUniversity,Boston,MA,USA Jean-MarcFellous DepartmentofPsychologyandPrograminApplied Mathematics,ARLDivisionofNeuralSystems,MemoryandAging, UniversityofArizona,Tucson,AZ85724,USA,[email protected] xi xii Contributors FernandoR.Fernandez DepartmentofBioengineering,BrainInstitute, UniversityofUtah,SaltLakeCity,UT,USA BrunoFoutry INSERME358InstitutMagendie,Universite´ Bordeaux2, Bordeaux,France YannLeFranc Unite´ deNeurosciencesInte´grativesetComputationnelles (UNIC),CNRS,GifsurYvette;INSERME358InstitutMagendie,Universite´ Bordeaux2,Bordeaux,France YvesFre´gnac Unite´ deNeurosciencesInte´grativesetComputationnelles (UNIC),CNRS,91198Gif-sur-Yvette,France AntoniC.G.vanGinneken DepartmentofPhysiology,AcademicMedical Center,UniversityofAmsterdam,Amsterdam,1105AZ,TheNetherlands Jose´ FranciscoGo´mezGonza´lez Unite´ deNeurosciencesInte´grativeset Computationnelles(UNIC),CNRS,91198Gif-sur-Yvette,France LyleJ.Graham NeurophysiologyofVisualComputationLaboratory, LaboratoryofNeurophysicsandPhysiology,CNRSUMR8119,Universite´ ParisDescartes,45ruedesSaint-Pe`res,75006Paris,France, [email protected] RachelGrashow VolenCenterandBiologyDepartment,MS013,Brandeis University,Waltham,MA02454-9110,USA,[email protected] H.Hu DepartmentofPhysiologyatInstituteofBasalMedicine,andCentre ofMolecularBiologyandNeuroscience,UniversityofOslo,PB1103Blindern, N-0317Oslo,Norway StuartW.Hughes SchoolofBiosciences,CardiffUniversity,CardiffCF10 3US,UK,[email protected] DieterJaeger DepartmentofBiology,EmoryUniversity,Atlanta,GA30322, USA,[email protected] TilmanJ.Kispersky DepartmentofBioengineering,BrainInstitute,University ofUtah,SaltLakeCity,UT,USA;PrograminNeuroscience,Boston University,Boston,MA,USA YvesDeKoninck Unite´ deNeurobiologieCellulaire,CentredeRecherche Universite´ LavalRobert-Giffard,Que´bec,Que´bec,G1J2G3,Canada, [email protected] RisaLin LaboratoryforNeuroengineering,SchoolofECE,Department ofBiology,GeorgiaInstituteofTechnology,EmoryUniversity,Atlanta,GA 30322,USA,[email protected] MagorLo¨rincz SchoolofBiosciences,CardiffUniversity,CardiffCF103US, UK

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Dynamic-clamp is a fascinating electrophysiology technique that consists of merging living neurons with computational models. The dynamic-clamp (also called "conductance injection") allows experimentalists and theoreticians to challenge neurons (or any other type of cell) with complex conductance st
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