Abstract
Electrophysiology is an exceptionally useful tool for neuroscience research due to the intrinsic electrical excitability of neurons and the significant array of ion channels present in both neurons and glia. Diverse electrophysiological techniques may be applied to neurobiology ranging from measurements of cell populations in broad brain regions to measurements of single channels in patches of plasma membrane. One of the strengths of electrophysiology as a tool is the ability to measure the properties of known ion channels in heterologous systems, then dissect the diverse pharmacology and biophysics of neuronal responses to finally better understand which component channels and their features determine the biologically critical outputs of neurons and circuits.
Patch-clamp electrophysiology allows recording of neuronal receptors at both the synaptic and extrasynaptic level. The specific techniques described here permit the study of both populations independently by measuring miniature excitatory synaptic currents and currents derived from somatic receptors. The resolution and accuracy of the techniques described in the chapter are high (in the sub-picoampere and sub-millisecond ranges). Further, these methodologies provide valuable information about the behavior of the receptors in their native environment where they coexist with auxiliary, modulatory, and anchoring proteins.
In this chapter, we firstly describe the methodology for preparing hippocampal neuronal cultures. Secondly, we describe the process of recording and analyzing miniature postsynaptic currents. Finally, we describe in detail the technique of fast agonist application onto outside-out patches obtained from the soma of neurons. We discuss common problems found with these approaches and present tips to assist researchers new to the field so they may rapidly master the techniques.
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References
Hartveit E, Veruki ML (2007) Studying properties of neurotransmitter receptors by non-stationary noise analysis of spontaneous postsynaptic currents and agonist-evoked responses in outside-out patches. Nat Protoc 2:434–448. Hoboken, NJ
Molleman A (2003) Patch clam** – an introductory guide to patch clamp electrophysiology. Wiley, New York
Patten D, Foxon GR, Martin KF, Halliwell RF (2001) An electrophysiological study of the effects of propofol on native neuronal ligand-gated ion channels. Clin Exp Pharmacol Physiol 28:451–458
Traynelis SF, Wollmuth LP, McBain CJ, Menniti FS, Vance KM, Ogden KK, Hansen KB, Yuan H, Myers SJ, Dingledine R (2010) Glutamate receptor ion channels: structure, regulation, and function. Pharmacol Rev 62:405–496
Acknowledgments
We wish to thank Saad Hannan for initial assistance with hippocampal cultures and David DiGregorio whose noise analysis macro we have modified. This work is supported by the Spanish Ministry of Science and Technology co-funded with European Union funds FEDER (Grant BFU-2011-24725) and the European Commission (FP7-PEOPLE-2011-CIG; Grant 293498). David Soto is supported by the “Ramón y Cajal” Programme (RyC-2010-05970). Ian Coombs is supported by Wellcome Trust (086185/Z/08/Z) and MRC (MR/J002976/1) Programme Grants (awarded to Stuart Cull-Candy and Mark Farrant).
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Appendices
Appendix 1: Igor Macro for Peak-Scaled Non-stationary Fluctuation Analysis
#pragma rtGlobals=1 // Use modern global access method.
Macro PeakscaledNSNA()
execute "PSNSNA()"
end
Function PSNSNA()
//start by initializing strings (the names of important bits) and waves (the contents)
string NSNAAvg,Identifier,BackgroundVarName
string /g Variance,Average,BinnedVariance,BinnedAverage,STDEV, Binnedgraph, CurrentAvg,FittedParabola
string /g layoutName="DisplayFormat"
variable bslnstart=0 // begin time to calculate back ground variance
variable bslnend=4
variable smoothing_in=0
variable numbins_in=30
variable bin=1 //0 if no, 1 if yes
variable /g smoothing=0
variable /g BackgroundVar //calculated background variance
variable /g xLim
variable /g yLim
variable /g ScalePt
variable /g ScaleMag
variable /g ScaleFact
variable /g numbins=0
variable /g binstart=0 //pA
variable /g binend=0
variable DrivingForce=-55
variable /g Conduct=0
variable /g Popen
//Make a prompt window for user input of important values
Prompt bslnstart, "Baseline start point (ms)"
Prompt bslnend, "Baseline end point (ms)"
Prompt NSNAAvg,"Average Wave",popup,WaveList("avg_*",";","")
Prompt smoothing_in, "smooth factor (binomial)"
Prompt Identifier,"enter file suffix for identification"
Prompt numbins_in, "number of bins"
Prompt DrivingForce, "enter voltage (mV)"
DoPrompt "enter wave",NSNAAvg,bslnstart,bslnend,smoothing_in,Identifier,numbins_in,DrivingForce
if(V_flag==1) //If there is no selected wave then it cancels
return 0 //cancel do prompt
endif
smoothing=smoothing_in //rename input values for use
numbins=numbins_in
Duplicate /o $NSNAAvg NonStatAvg
Duplicate /o NonStatAvg NonStatVar
Duplicate /o NonStatAvg ScaleAvg
Average="Avg"+Identifier //This is why you need to enter suffix, to give fresh names to these values
Variance="Var"+Identifier
BinnedAverage="Avg_Bin_"+Identifier
BinnedVariance="Var_Bin_"+Identifier
CurrentAvg="Current_"+Identifier
BackgroundVarName="BackVar"+Identifier
FittedParabola="FittedNoise"+Identifier
STDEV="Var_SD"+Identifier
variable chncnt,wvcnt,numSweeps ///initialize more variables to name each sweep
string wvlist,wvName,wvName2,NonStatAvgName
wave NonStatVar
string tempwave
wave chanselect
wave waveselect
nvar smoothing
NonStatVar=0
numSweeps=0
wavestats /q/R=(xcsr(A),xcsr(B)) NonStatAvg ////Gets stats of the average current wave in analysis window
xLim=V_min+(0.05*V_min) ////sets a limit of 5% under the minimum
ScalePt=xcsr(A)
ScaleMag=V_min
for (chncnt = 0; chncnt < numpnts(ChanSelect); chncnt += 1) // loops through each time point in the input waves, normally in ChanA (ChanSelect)
if (ChanSelect[chncnt] != 1) ///If only one sweep, end the macro as noise analysis cannot be performed.
continue
endif
wvlist = GetChanWaveList(chncnt) ///this is a neuromatic function that returns the list of selected waves for a particular channel
for (wvcnt = 0; wvcnt < ItemsInList(wvList); wvcnt += 1) ///Loops through each sweep (for the timepoint in question from chncnt)
wvName = StringFromList(wvcnt, wvList) ///gets the current wave
wvName2 = StringFromList(wvcnt+1, wvList) ///gets the next wave for pairwise comparison
if (exists(wvName) == 0) ///keep going until wvName is 0 i.e. it has gone through every wave
continue
endif
duplicate /o $wvName, Sweep ///Get values for each pair of waves
ScaleFact = Sweep(ScalePt)/ScaleMag ///These two lines scale the average peak to the correspnding datapoint in the sweep
ScaleAvg = NonStatAvg*ScaleFact
if (smoothing>1) ///Smooth out the records
smooth smoothing, Sweep
endif
NonStatVar+=(ScaleAvg-Sweep)^2 ///Square the difference to get the variance, add variances
numSweeps+=1
endfor
NonStatVar/=(numSweeps-1) ///final calculation of variance by dividing by total number,-1
endfor
////calculate and print background variance
wavestats /q /R=(bslnstart,bslnend) NonStatVar ////NonStatVar is the wave with the variance at each timepoint, this is just in the baseline window
BackgroundVar=V_avg //This gives the average variance in the background range
print "background variance (pA^2) is:", BackgroundVar
wavestats /q/R=(xcsr(A),xcsr(B)) NonStatAvg ////Gets stats of the average current wave in analysis window
xLim=V_min+(0.05*V_min) ////sets a limit of 5% under the minimum
wavestats /q/R=(xcsr(A),xcsr(B)) NonStatVar ////Gets stats of average Variance wave
yLim=V_max+(0.05*V_max) ////sets a limit of 5% over the maximum
duplicate /o /R=(xcsr(A),xcsr(B)) NonStatVar $Variance ////Duplicates section of variance between cursors
duplicate /o /R=(xcsr(A),xcsr(B)) $NSNAAvg $Average ////Renames section of current between cursors
duplicate /o /R=(xcsr(A),xcsr(B)) $NSNAAvg BckVr ////Renames section as other type of string/wave, never got that distinction
if (bin==1)
duplicate /o $Average AvgForBin ////more renaming to put things in the right form
duplicate /o $Variance VarForBin
make /o/N=(numbins) NonStatAvg_Bin ////Gets new waves to contain data from binned records
make /o/N=(numbins) NonStatVar_Bin
make /o/N=(numbins) NonStatVarSD
wave VarForBin, AvgForBin,NonStatAvg_Bin,NonStatVar_Bin,NonStatVarSD
variable incwave
variable incAvg //increment through binning
nvar numbins,binstart,binend
variable /g binwidth=0
variable count_if=0
variable count_if_sd=0
variable /g waveEndForSD=0
NonStatAvg_Bin=0 /////initializing loops
NonStatVar_Bin=0
NonStatVarSD=0
incavg=0
wavestats /Q AvgForBin
waveEndForSD=V_npnts-2 /////The number of comparisons is less because the end points have only one neighbour
Binwidth=(V_min-V_max)/numbins /////Binwidth is in current and is the full range sliced up
print "binwidth is", binwidth
variable countbins=0
for (incAvg=1;incAvg<=numbins;incAvg+=1) /////Binning routine, loops for each bin
binstart=V_min-(incAvg*Binwidth) /////calculates upper and lower limits of the bin
binend=binstart+binwidth
count_if=0 /////reinnitializes counts
count_if_sd=0
for (incwave=0;incwave<(V_npnts-1);incwave+=1) /////Runs through each datapoint in cursor range
if((AvgForBin[incwave]<binstart) && (AvgForBin[incwave]>=binend)) /////If in bin range then include in bin
NonStatAvg_Bin[incavg-1]+=AvgForBin[incwave] /////Add current and variance to binpoint
NonStatVar_Bin[incavg-1]+=VarForBin[incwave]
if(incwave<waveEndForSD) ///// This calculates errors for error bars on each variance point
NonStatVarSD[incavg-1]+=(VarForBin[incwave+1]-VarForBin[incwave])^2
count_if_sd+=1
endif
count_if+=1
endif
endfor
NonStatAvg_Bin[incavg-1]/=count_if /////Total value divided by number of contributors
NonStatVar_Bin[incavg-1]/=count_if
NonStatVarSD[incavg-1]/=2*(count_if_sd-1) /////Divide error bars by number of contributors*2
NonStatVarSD[incavg-1]=sqrt(NonStatVarSD[incavg-1]) /////Take sqrt of it. to give SD
endfor
print "number of executed bins",countbins
duplicate /o NonStatAvg_Bin $BinnedAverage //////Back again, duplicate binned stuff
duplicate /o NonStatVar_Bin $BinnedVariance
duplicate /o NonStatVar_Bin $BinnedVariance
duplicate /o NonStatAvg_Bin $FittedParabola
duplicate /o NonStatVarSD $STDEV //for standard error bars
endif
BckVr=BackgroundVar //////Duplicting background var
duplicate /o BckVr $BackgroundVarName //////More renaming
Binnedgraph="MeanVarBin"+Identifier
if(wintype(Binnedgraph)==0)
display /k=1 $BinnedVariance vs $BinnedAverage //make graphs for binned data
DoWindow /C $Binnedgraph
ModifyGraph mode=4,marker=19,msize=4
ModifyGraph rgb=(0,0,0)
AppendToGraph $BackgroundVarName vs $Average //////Add background variance
ModifyGraph mode=0
ShowInfo
ErrorBars $BinnedVariance Y,wave=($STDEV,$STDEV) //////Stick error bars on
SetAxis/A
SetAxis bottom 2, xLim
ModifyGraph mode( $BinnedVariance)=4
endif
Make/D/N=3/O W_coef //////Do a fit
W_coef[0] = {BackgroundVar,-0.5,100} //////Make first guesses for variance fit
FuncFit/H="100" SigworthNSNA W_coef $BinnedVariance /X=$BinnedAverage /D=$FittedParabola /W=$STDEV /I=1 /////Hold backvar,;fit N,i
Conduct = w_coef[1]/DrivingForce*1000
Popen = V_min/(w_coef[1]*w_coef[2])
TextBox /w=$Binnedgraph/N=test/C/F=0/E=1/A=MT "G(pS)="+num2str(Conduct)+"\r"+"N="+num2str(w_coef[2])+ "\r"+"PoPeak ="+num2str(Popen) //////Display it
AppendToGraph $FittedParabola vs $BinnedAverage
ModifyGraph lstyle($FittedParabola)=3,rgb($FittedParabola)=(0,0,0),mode($BinnedVariance)=3,rgb($BackgroundVarName)=(34816,34816,34816)
Label left "Variance (pA\\S2\\M)";DelayUpdate
Label bottom "Current (pA)"
display NonStatAvg
DoWindow /C $CurrentAvg
ModifyGraph rgb=(0,0,0)
ModifyGraph tick=3,noLabel=2,axThick=0
NewLayout /N=Layoutname
AppendLayoutObject graph $Binnedgraph
AppendLayoutObject graph $CurrentAvg
ModifyLayout frame=0,trans=1;DelayUpdate
ModifyLayout left($Binnedgraph)=100,top($Binnedgraph)=370,width($Binnedgraph)=300,height($Binnedgraph)=350;DelayUpdate
ModifyLayout left($CurrentAvg)=60,top($CurrentAvg)=100,width($CurrentAvg)=400,height($CurrentAvg)=300
print "Conductance = ",Conduct
print "PoPeak = ",Popen
end
////////////////////////////////////////////////////////////////////////////
Appendix 2: Sigworth NSNA Function
#pragma rtGlobals=1 // Use modern global access method.
Function SigworthNSNA(w,x) : FitFunc //sigworth non-stationary noise analysis fit with background variance
Wave w
Variable x
//CurveFitDialog/ These comments were created by the Curve Fitting dialog. Altering them will
//CurveFitDialog/ make the function less convenient to work with in the Curve Fitting dialog.
//CurveFitDialog/ Equation:
//CurveFitDialog/ f(x) = var_back + i*I -((I*I)/N)
//CurveFitDialog/ End of Equation
//CurveFitDialog/ Independent Variables 1
//CurveFitDialog/ x
//CurveFitDialog/ Coefficients 3
//CurveFitDialog/ w[0] = var_back
//CurveFitDialog/ w[1] = i
//CurveFitDialog/ w[2] = N
return w[0] + w[1]*x-((x*x)/w[2])
End
Appendix 3: Igor Macro for Non-stationary Fluctuation Analysis
#pragma rtGlobals=1 // Use modern global access method.
Macro PairwiseNSNA()
execute "NSNA()"
end
Function NSNA()
//start by initializing strings (the names of important bits) and waves (the contents)
string NSNAAvg,Identifier,BackgroundVarName
string /g Variance,Average,BinnedVariance,BinnedAverage,STDEV, Binnedgraph, CurrentAvg,FittedParabola
string /g layoutName="DisplayFormat"
variable bslnstart=0 // begin time to calculate back ground variance
variable bslnend=20
variable smoothing_in=0
variable numbins_in=10
variable bin=1 //0 if no, 1 if yes
variable /g smoothing=0
variable /g BackgroundVar //calculated background variance
variable /g xLim
variable /g yLim
variable /g numbins=0
variable /g binstart=0 //pA
variable /g binend=0
variable DrivingForce=-55
variable /g Conduct=0
variable /g Popen
//Make a prompt window for user input of important values
Prompt bslnstart, "Baseline start point (ms)"
Prompt bslnend, "Baseline end point (ms)"
Prompt NSNAAvg,"Average Wave",popup,WaveList("avg_*",";","")
Prompt smoothing_in, "smooth factor (binomial)"
Prompt Identifier,"enter file suffix for identification"
Prompt numbins_in, "number of bins"
Prompt DrivingForce, "enter voltage (mV)"
DoPrompt "enter wave",NSNAAvg,bslnstart,bslnend,smoothing_in,Identifier,numbins_in,DrivingForce
if(V_flag==1) //If there is no selected wave then it cancels
return 0 //cancel do prompt
endif
smoothing=smoothing_in //rename input values for use
numbins=numbins_in
Duplicate /o $NSNAAvg NonStatAvg
Duplicate /o NonStatAvg NonStatVar
Average="Avg"+Identifier //This is why you need to enter suffix, to give fresh names to these values
Variance="Var"+Identifier
BinnedAverage="Avg_Bin_"+Identifier
BinnedVariance="Var_Bin_"+Identifier
CurrentAvg="Current_"+Identifier
BackgroundVarName="BackVar"+Identifier
FittedParabola="FittedNoise"+Identifier
STDEV="Var_SD"+Identifier
variable chncnt,wvcnt,numSweeps ///initialize more variables to name each sweep
string wvlist,wvName,wvName2,NonStatAvgName
wave NonStatVar
string tempwave
wave chanselect
wave waveselect
nvar smoothing
NonStatVar=0
numSweeps=0
for (chncnt = 0; chncnt < numpnts(ChanSelect); chncnt += 1) // loops through each time point in the input waves, normally in ChanA (ChanSelect)
if (ChanSelect[chncnt] != 1) ///If only one sweep, end the macro as noise analysis cannot be performed.
continue
endif
wvlist = GetChanWaveList(chncnt) ///this is a neuromatic function that returns the list of selected waves for a particular channel
for (wvcnt = 0; wvcnt < ItemsInList(wvList)-1; wvcnt += 1) ///Loops through each sweep (for the timepoint in question from chncnt)
wvName = StringFromList(wvcnt, wvList) ///gets the current wave
wvName2 = StringFromList(wvcnt+1, wvList) ///gets the next wave for pairwise comparison
if (exists(wvName) == 0) ///keep going until wvName is 0 i.e. it has gone through every wave
continue
endif
duplicate /o $wvName, Sweep ///Get values for each pair of waves
duplicate /o $wvName2, Sweep2
if (smoothing>1) ///Smooth out the records
smooth smoothing, Sweep
smooth smoothing, Sweep2
endif
NonStatVar+=(Sweep2-Sweep)^2 ///Square the difference to get the variance, add variances
numSweeps+=1
endfor
NonStatVar/=2*(numSweeps) ///final calculation of variance by dividing by total number, and 2 since each wave was used twice
endfor
////calculate and print background variance
wavestats /q /R=(bslnstart,bslnend) NonStatVar ////NonStatVar is the wave with the variance at each timepoint, this is just in the baseline window
BackgroundVar=V_avg //This gives the average variance in the background range
print "background variance (pA^2) is:", BackgroundVar
wavestats /q/R=(xcsr(A),xcsr(B)) NonStatAvg ////Gets stats of the average current wave in analysis window
xLim=V_min+(0.05*V_min) ////sets a limit of 5% under the minimum
wavestats /q/R=(xcsr(A),xcsr(B)) NonStatVar ////Gets stats of average Variance wave
yLim=V_max+(0.05*V_max) ////sets a limit of 5% over the maximum
duplicate /o /R=(xcsr(A),xcsr(B)) NonStatVar $Variance ////Duplicates section of variance between cursors
duplicate /o /R=(xcsr(A),xcsr(B)) $NSNAAvg $Average ////Renames section of current between cursors
duplicate /o /R=(xcsr(A),xcsr(B)) $NSNAAvg BckVr ////Renames section as other type of string/wave, never got that distinction
if (bin==1)
duplicate /o $Average AvgForBin ////more renaming to put things in the right form
duplicate /o $Variance VarForBin
make /o/N=(numbins) NonStatAvg_Bin ////Gets new waves to contain data from binned records
make /o/N=(numbins) NonStatVar_Bin
make /o/N=(numbins) NonStatVarSD
wave VarForBin, AvgForBin,NonStatAvg_Bin,NonStatVar_Bin,NonStatVarSD
variable /g binsize //calculated bin cutoff /////seems to not be used at all
variable incwave
variable incAvg //increment through binning
nvar numbins,binstart,binend
variable binsize_prev
variable /g binwidth=0
variable count_if=0
variable count_if_sd=0
variable /g waveEndForSD=0
NonStatAvg_Bin=0 /////initializing loops
NonStatVar_Bin=0
NonStatVarSD=0
incavg=0
wavestats /Q AvgForBin
waveEndForSD=V_npnts-2 /////The number of comparisons is less because the end points have only one neighbour
Binwidth=(V_min-V_max)/numbins /////Binwidth is in current and is the full range sliced up
print "binwidth is", binwidth
variable countbins=0
for (incAvg=1;incAvg<=numbins;incAvg+=1) /////Binning routine, loops for each bin
binstart=V_min-(incAvg*Binwidth) /////calculates upper and lower limits of the bin
binend=binstart+binwidth
count_if=0 /////reinnitializes counts
count_if_sd=0
for (incwave=0;incwave<(V_npnts-1);incwave+=1) /////Runs through each datapoint in cursor range
if((AvgForBin[incwave]<binstart) && (AvgForBin[incwave]>=binend)) /////If in bin range then include in bin
NonStatAvg_Bin[incavg-1]+=AvgForBin[incwave] /////Add current and variance to binpoint
NonStatVar_Bin[incavg-1]+=VarForBin[incwave]
if(incwave<waveEndForSD) ///// This calculates errors for error bars on each variance point
NonStatVarSD[incavg-1]+=(VarForBin[incwave+1]-VarForBin[incwave])^2
count_if_sd+=1
endif
count_if+=1
endif
endfor
NonStatAvg_Bin[incavg-1]/=count_if /////Total value divided by number of contributors
NonStatVar_Bin[incavg-1]/=count_if
NonStatVarSD[incavg-1]/=2*(count_if_sd-1) /////Divide error bars by number of contributors*2
NonStatVarSD[incavg-1]=sqrt(NonStatVarSD[incavg-1]) /////Take sqrt of it. to give SD
endfor
print "number of executed bins",countbins
duplicate /o NonStatAvg_Bin $BinnedAverage //////Back again, duplicate binned stuff
duplicate /o NonStatVar_Bin $BinnedVariance
duplicate /o NonStatVar_Bin $BinnedVariance
duplicate /o NonStatAvg_Bin $FittedParabola
duplicate /o NonStatVarSD $STDEV //for standard error bars
endif
BckVr=BackgroundVar //////Duplicting background var
duplicate /o BckVr $BackgroundVarName //////More renaming
Binnedgraph="MeanVarBin"+Identifier
if(wintype(Binnedgraph)==0)
display /k=1 $BinnedVariance vs $BinnedAverage //make graphs for binned data
DoWindow /C $Binnedgraph
ModifyGraph mode=4,marker=19,msize=4
ModifyGraph rgb=(0,0,0)
AppendToGraph $BackgroundVarName vs $Average //////Add background variance
ModifyGraph mode=0
ShowInfo
ErrorBars $BinnedVariance Y,wave=($STDEV,$STDEV) //////Stick error bars on
SetAxis/A
SetAxis bottom 2, xLim
ModifyGraph mode( $BinnedVariance)=4
endif
Make/D/N=3/O W_coef //////Do a fit
W_coef[0] = {BackgroundVar,-0.5,100} //////Make first guesses for variance fit
FuncFit/H="100" SigworthNSNA W_coef $BinnedVariance /X=$BinnedAverage /D=$FittedParabola /W=$STDEV /I=1 /////Hold backvar,;fit N,i
Conduct = w_coef[1]/DrivingForce*1000
Popen = V_min/(w_coef[1]*w_coef[2])
TextBox /w=$Binnedgraph/N=test/C/F=0/E=1/A=MT "G(pS)="+num2str(Conduct)+"\r"+"N="+num2str(w_coef[2])+ "\r"+"PoPeak ="+num2str(Popen) //////Display it
AppendToGraph $FittedParabola vs $BinnedAverage
ModifyGraph lstyle($FittedParabola)=3,rgb($FittedParabola)=(0,0,0),mode($BinnedVariance)=3,rgb($BackgroundVarName)=(34816,34816,34816)
Label left "Variance (pA\\S2\\M)";DelayUpdate
Label bottom "Current (pA)"
display NonStatAvg
DoWindow /C $CurrentAvg
ModifyGraph rgb=(0,0,0)
ModifyGraph tick=3,noLabel=2,axThick=0
NewLayout /N=Layoutname
AppendLayoutObject graph $Binnedgraph
AppendLayoutObject graph $CurrentAvg
ModifyLayout frame=0,trans=1;DelayUpdate
ModifyLayout left($Binnedgraph)=100,top($Binnedgraph)=370,width($Binnedgraph)=300,height($Binnedgraph)=350;DelayUpdate
ModifyLayout left($CurrentAvg)=60,top($CurrentAvg)=100,width($CurrentAvg)=400,height($CurrentAvg)=300
print "Conductance = ",Conduct
print "PoPeak = ",Popen
end
////////////////////////////////////////////////////////////////////////////
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Coombs, I.D., Soto, D. (2016). Using Electrophysiology to Study Synaptic and Extrasynaptic Ionotropic Receptors in Hippocampal Neurons. In: Luján, R., Ciruela, F. (eds) Receptor and Ion Channel Detection in the Brain. Neuromethods, vol 110. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-3064-7_21
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DOI: https://doi.org/10.1007/978-1-4939-3064-7_21
Publisher Name: Humana Press, New York, NY
Print ISBN: 978-1-4939-3063-0
Online ISBN: 978-1-4939-3064-7
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