Dynamic-Clamp: From Principles to Applications

428 Pages·2009·16.61 MB·English

by  Zuzanna Piwkowska

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
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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,[e-mail]
RomainBrette EquipeAudition(ENS/CNRS),De´partementd’E´ tudes
Cognitives,E´ coleNormaleSupe´rieure,F-75230ParisCedex05,France,
[e-mail]
RobertButera LaboratoryforNeuroengineering,SchoolofECE,Georgia
InstituteofTechnology,Atlanta,GA,USA,[e-mail]
CarmenC.Canavier NeuroscienceCenterofExcellence,LouisianaState
UniversityHealthSciencesCenter,NewOrleans,LA,USA,
[e-mail]
FrancesChance DepartmentofNeurobiologyandBehavior,University
ofCalifornia,Irvine,CA92697,USA,[e-mail]
DavidW.Cope SchoolofBiosciences,CardiffUniversity,CardiffCF103US,
UK
VincenzoCrunelli SchoolofBiosciences,CardiffUniversity,CardiffCF10
3US,UK
AlainDestexhe Unite´ deNeurosciencesInte´grativesetComputationnelles
(UNIC),CNRS,91198Gif-sur-Yvette,France,[e-mail]
MichaelN.Economo DepartmentofBioengineering,BrainInstitute,
UniversityofUtah,SaltLakeCity,UT,USA;DepartmentofBiomedical
Engineering,BostonUniversity,Boston,MA,USA
Jean-MarcFellous DepartmentofPsychologyandPrograminApplied
Mathematics,ARLDivisionofNeuralSystems,MemoryandAging,
UniversityofArizona,Tucson,AZ85724,USA,[e-mail]
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,
[e-mail]
RachelGrashow VolenCenterandBiologyDepartment,MS013,Brandeis
University,Waltham,MA02454-9110,USA,[e-mail]
H.Hu DepartmentofPhysiologyatInstituteofBasalMedicine,andCentre
ofMolecularBiologyandNeuroscience,UniversityofOslo,PB1103Blindern,
N-0317Oslo,Norway
StuartW.Hughes SchoolofBiosciences,CardiffUniversity,CardiffCF10
3US,UK,[e-mail]
DieterJaeger DepartmentofBiology,EmoryUniversity,Atlanta,GA30322,
USA,[e-mail]
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,
[e-mail]
RisaLin LaboratoryforNeuroengineering,SchoolofECE,Department
ofBiology,GeorgiaInstituteofTechnology,EmoryUniversity,Atlanta,GA
30322,USA,[e-mail]
MagorLo¨rincz SchoolofBiosciences,CardiffUniversity,CardiffCF103US,
UK