diff multithreshold 1.46/testAN.m @ 0:f233164f4c86

first commit

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/multithreshold 1.46/testAN.m	Fri May 27 13:19:21 2011 +0100
@@ -0,0 +1,289 @@
+function testAN
+% testIHC used either for IHC I/O function ...
+%  or receptive field (doReceptiveFields=1)
+
+global experiment method stimulusParameters
+global IHC_VResp_VivoParams IHCpreSynapseParams
+global AN_IHCsynapseParams
+% global saveMembranePotential MacGregorMultiParams
+dbstop if error
+
+addpath (['..' filesep 'MAP'], ['..' filesep 'utilities'], ...
+    ['..' filesep 'parameterStore'],  ['..' filesep 'wavFileStore'],...
+    ['..' filesep 'testPrograms'])
+
+levels=-10:10:80;
+% levels=80:10:90;
+nLevels=length(levels);
+
+toneDuration=.2;
+rampDuration=0.002;
+silenceDuration=.02;
+localPSTHbinwidth=0.001;
+
+% Use only the first frequency in the GUI targetFrequency box to defineBF
+targetFrequency=stimulusParameters.targetFrequency(1);
+BFlist=targetFrequency;
+
+AN_HSRonset=zeros(nLevels,1);
+AN_HSRsaturated=zeros(nLevels,1);
+AN_LSRonset=zeros(nLevels,1);
+AN_LSRsaturated=zeros(nLevels,1);
+CNLSRrate=zeros(nLevels,1);
+CNHSRsaturated=zeros(nLevels,1);
+ICHSRsaturated=zeros(nLevels,1);
+ICLSRsaturated=zeros(nLevels,1);
+vectorStrength=zeros(nLevels,1);
+
+AR=zeros(nLevels,1);
+MOC=zeros(nLevels,1);
+
+% ANoutput=zeros(200,200);
+
+figure(15), clf
+set(gcf,'position',[980   356   401   321])
+figure(5), clf
+ set(gcf,'position', [980 34 400 295])
+drawnow
+
+levelNo=0;
+for leveldB=levels
+    levelNo=levelNo+1;
+
+    % sample rate should be amultiple of the targetFrequency for PSTH below
+    sampleRate=50000;
+    dt=1/sampleRate;
+    period=1/targetFrequency;
+    dt=dt*(dt/period)*round(period/dt);
+
+    fprintf('%4.0f\t', leveldB)
+    amp=28e-6*10^(leveldB/20);
+
+    time=dt:dt:toneDuration;
+    rampTime=dt:dt:rampDuration;
+    ramp=[0.5*(1+cos(2*pi*rampTime/(2*rampDuration)+pi)) ...
+        ones(1,length(time)-length(rampTime))];
+    ramp=ramp.*fliplr(ramp);
+
+    silence=zeros(1,round(silenceDuration/dt));
+
+    % create signal (leveldB/ targetFrequency)
+    inputSignal=amp*sin(2*pi*targetFrequency'*time);
+    inputSignal= ramp.*inputSignal;
+    inputSignal=[silence inputSignal];
+
+    %% run the model
+    AN_spikesOrProbability='spikes';
+    MAPparamsName=experiment.name;
+    showPlotsAndDetails=0;
+
+    global ANoutput CNoutput ICoutput ICmembraneOutput tauCas
+    global ARattenuation MOCattenuation
+    
+    MAP1_14(inputSignal, 1/dt, targetFrequency, ...
+        MAPparamsName, AN_spikesOrProbability);
+
+    nTaus=length(tauCas);
+
+    %LSR (same as HSR if no LSR fibers present)
+    [nANFibers nTimePoints]=size(ANoutput);
+    dt=dt* length(inputSignal)/nTimePoints;
+
+    numLSRfibers=nANFibers/nTaus;
+    numHSRfibers=numLSRfibers;
+
+    LSRspikes=ANoutput(1:numLSRfibers,:);
+    PSTH=UTIL_makePSTH(LSRspikes, dt, localPSTHbinwidth);
+    PSTHLSR=mean(PSTH,1)/localPSTHbinwidth;  % across fibers rates
+    PSTHtime=localPSTHbinwidth:localPSTHbinwidth:...
+        localPSTHbinwidth*length(PSTH);
+    AN_LSRonset(levelNo)= max(PSTHLSR); % peak in 5 ms window
+    AN_LSRsaturated(levelNo)= mean(PSTHLSR(round(length(PSTH)/2):end));
+
+    % HSR
+    HSRspikes= ANoutput(end- numHSRfibers+1:end, :);
+    PSTH=UTIL_makePSTH(HSRspikes, dt, localPSTHbinwidth);
+    PSTH=mean(PSTH,1)/localPSTHbinwidth; % sum across fibers (HSR only)
+    AN_HSRonset(levelNo)= max(PSTH);
+    AN_HSRsaturated(levelNo)= mean(PSTH(round(length(PSTH)/2): end));
+
+    figure(5), subplot(2,2,2)
+    hold off, bar(PSTHtime,PSTH, 'b')
+    hold on,  bar(PSTHtime,PSTHLSR,'r')
+    ylim([0 1000])
+xlim([0 length(PSTH)*localPSTHbinwidth])
+    
+    % AN - CV
+    %  CV is computed 5 times. Use the middle one (3) as most typical
+    cvANHSR=  UTIL_CV(HSRspikes, dt);
+
+    % AN - vector strength
+    PSTH=sum(HSRspikes);
+    [PH, binTimes]=UTIL_periodHistogram...
+        (PSTH, dt, targetFrequency);
+    VS=UTIL_vectorStrength(PH);
+    vectorStrength(levelNo)=VS;
+    disp(['sat rate= ' num2str(AN_HSRsaturated(levelNo)) ...
+        ';   phase-locking VS = ' num2str(VS)])
+    title(['AN HSR: CV=' num2str(cvANHSR(3),'%5.2f') ...
+        'VS=' num2str(VS,'%5.2f')])
+
+    % CN - first-order neurons
+
+    % CN LSR
+    [nCNneurons c]=size(CNoutput);
+    nLSRneurons=round(nCNneurons/nTaus);
+    CNLSRspikes=CNoutput(1:nLSRneurons,:);
+    PSTH=UTIL_makePSTH(CNLSRspikes, dt, localPSTHbinwidth);
+    PSTH=sum(PSTH)/nLSRneurons;
+    CNLSRrate(levelNo)=mean(PSTH(round(length(PSTH)/2):end))/localPSTHbinwidth;
+
+    %CN HSR
+    MacGregorMultiHSRspikes=...
+        CNoutput(end-nLSRneurons:end,:);
+    PSTH=UTIL_makePSTH(MacGregorMultiHSRspikes, dt, localPSTHbinwidth);
+    PSTH=sum(PSTH)/nLSRneurons;
+    PSTH=mean(PSTH,1)/localPSTHbinwidth; % sum across fibers (HSR only)
+
+    CNHSRsaturated(levelNo)=mean(PSTH(length(PSTH)/2:end));
+
+    figure(5), subplot(2,2,3)
+    bar(PSTHtime,PSTH)
+    ylim([0 1000])
+    xlim([0 length(PSTH)*localPSTHbinwidth])
+    cvMMHSR= UTIL_CV(MacGregorMultiHSRspikes, dt);
+    title(['CN    CV= ' num2str(cvMMHSR(3),'%5.2f')])
+
+    % IC LSR
+    [nICneurons c]=size(ICoutput);
+    nLSRneurons=round(nICneurons/nTaus);
+    ICLSRspikes=ICoutput(1:nLSRneurons,:);
+    PSTH=UTIL_makePSTH(ICLSRspikes, dt, localPSTHbinwidth);
+    ICLSRsaturated(levelNo)=mean(PSTH(round(length(PSTH)/2):end))/localPSTHbinwidth;
+
+    %IC HSR
+    MacGregorMultiHSRspikes=...
+        ICoutput(end-nLSRneurons:end,:);
+    PSTH=UTIL_makePSTH(MacGregorMultiHSRspikes, dt, localPSTHbinwidth);
+    PSTH=sum(PSTH)/nLSRneurons;
+    PSTH=mean(PSTH,1)/localPSTHbinwidth; % sum across fibers (HSR only)
+
+    ICHSRsaturated(levelNo)=mean(PSTH(length(PSTH)/2:end));
+
+    AR(levelNo)=min(ARattenuation);
+    MOC(levelNo)=min(MOCattenuation(length(MOCattenuation)/2:end));
+
+    time=dt:dt:dt*size(ICmembraneOutput,2);
+    figure(5), subplot(2,2,4)
+    plot(time,ICmembraneOutput(2, 1:end),'k')
+    ylim([-0.07 0])
+    xlim([0 max(time)])
+    title(['IC  ' num2str(leveldB,'%4.0f') 'dB'])
+    drawnow
+    
+    figure(5), subplot(2,2,1)
+    plot(20*log10(MOC), 'k'),
+    title(' MOC'), ylabel('dB attenuation')
+    ylim([-30 0])
+
+
+end % level
+figure(5), subplot(2,2,1)
+    plot(levels,20*log10(MOC), 'k'),
+    title(' MOC'), ylabel('dB attenuation')
+    ylim([-30 0])
+xlim([0 max(levels)])
+
+fprintf('\n')
+toneDuration=2;
+rampDuration=0.004;
+silenceDuration=.02;
+nRepeats=200;   % no. of AN fibers
+fprintf('toneDuration  %6.3f\n', toneDuration)
+fprintf(' %6.0f  AN fibers (repeats)\n', nRepeats)
+fprintf('levels')
+fprintf('%6.2f\t', levels)
+fprintf('\n')
+
+
+% ---------------------------------------------------- display parameters
+
+figure(15), clf
+set(gcf,'position',[1000   356   381   321])
+nRows=2; nCols=2;
+
+% AN rate - level ONSET functions
+subplot(nRows,nCols,1)
+plot(levels,AN_LSRonset,'ro'), hold on
+plot(levels,AN_HSRonset,'ko'), hold off
+ylim([0 1000]),  xlim([min(levels) max(levels)])
+ttl=['tauCa= ' num2str(IHCpreSynapseParams.tauCa)];
+title( ttl)
+xlabel('level dB SPL'), ylabel('peak rate (sp/s)'), grid on
+text(0, 800, 'AN onset', 'fontsize', 16)
+
+% AN rate - level ADAPTED function
+subplot(nRows,nCols,2)
+plot(levels,AN_LSRsaturated, 'ro'), hold on
+plot(levels,AN_HSRsaturated, 'ko'), hold off
+ylim([0 400])
+set(gca,'ytick',0:50:300)
+xlim([min(levels) max(levels)])
+set(gca,'xtick',[levels(1):20:levels(end)])
+%     grid on
+ttl=[   'spont=' num2str(mean(AN_HSRsaturated(1,:)),'%4.0f')...
+    '  sat=' num2str(mean(AN_HSRsaturated(end,1)),'%4.0f')];
+title( ttl)
+xlabel('level dB SPL'), ylabel ('adapted rate (sp/s)')
+text(0, 340, 'AN adapted', 'fontsize', 16), grid on
+
+% CN rate - level ADAPTED function
+subplot(nRows,nCols,3)
+plot(levels,CNLSRrate, 'ro'), hold on
+plot(levels,CNHSRsaturated, 'ko'), hold off
+ylim([0 400])
+set(gca,'ytick',0:50:300)
+xlim([min(levels) max(levels)])
+set(gca,'xtick',[levels(1):20:levels(end)])
+%     grid on
+ttl=[   'spont=' num2str(mean(CNHSRsaturated(1,:)),'%4.0f') '  sat=' ...
+    num2str(mean(CNHSRsaturated(end,1)),'%4.0f')];
+title( ttl)
+xlabel('level dB SPL'), ylabel ('adapted rate (sp/s)')
+text(0, 350, 'CN', 'fontsize', 16), grid on
+
+% IC rate - level ADAPTED function
+subplot(nRows,nCols,4)
+plot(levels,ICLSRsaturated, 'ro'), hold on
+plot(levels,ICHSRsaturated, 'ko'), hold off
+ylim([0 400])
+set(gca,'ytick',0:50:300)
+xlim([min(levels) max(levels)])
+set(gca,'xtick',[levels(1):20:levels(end)]), grid on
+
+ttl=['spont=' num2str(mean(ICHSRsaturated(1,:)),'%4.0f') ...
+    '  sat=' num2str(mean(ICHSRsaturated(end,1)),'%4.0f')];
+title( ttl)
+xlabel('level dB SPL'), ylabel ('adapted rate (sp/s)')
+text(0, 350, 'IC', 'fontsize', 16)
+set(gcf,'name',' AN CN IC rate/level')
+
+UTIL_showStruct(IHCpreSynapseParams, 'IHCpreSynapseParams')
+UTIL_showStruct(AN_IHCsynapseParams, 'AN_IHCsynapseParams')
+
+fprintf('\n')
+disp('levels vectorStrength')
+fprintf('%3.0f \t %6.4f \n', [levels; vectorStrength'])
+fprintf('\n')
+fprintf('Phase locking, max vector strength= %6.4f\n\n',...
+    max(vectorStrength))
+
+allData=[ levels'  AN_HSRonset AN_HSRsaturated...
+    AN_LSRonset AN_LSRsaturated ...
+    CNHSRsaturated CNLSRrate...
+    ICHSRsaturated ICLSRsaturated];
+fprintf('\n levels \tANHSR Onset \tANHSR adapted\tANLSR Onset \tANLSR adapted\tCNHSR\tCNLSR\tICHSR  \tICLSR \n');
+UTIL_printTabTable(round(allData))
+fprintf('VS (phase locking)= \t%6.4f\n\n',...
+    max(vectorStrength))
+