rmeddis@28: function vectorStrength=testAN(targetFrequency,BFlist, levels)
rmeddis@28: % testIHC used either for IHC I/O function ...
rmeddis@28: %  or receptive field (doReceptiveFields=1)
rmeddis@28: 
rmeddis@28: global experiment method stimulusParameters
rmeddis@28: global IHC_VResp_VivoParams  IHC_cilia_RPParams IHCpreSynapseParams
rmeddis@28: global AN_IHCsynapseParams
rmeddis@28: 
rmeddis@28:     global ANoutput ANdt CNoutput ICoutput ICmembraneOutput tauCas
rmeddis@28:     global ARattenuation MOCattenuation
rmeddis@28: 
rmeddis@28: dbstop if error
rmeddis@28: 
rmeddis@28: addpath (['..' filesep 'MAP'], ['..' filesep 'utilities'], ...
rmeddis@28:     ['..' filesep 'parameterStore'],  ['..' filesep 'wavFileStore'],...
rmeddis@28:     ['..' filesep 'testPrograms'])
rmeddis@28: 
rmeddis@28: if nargin<3
rmeddis@28:     levels=-10:10:80;
rmeddis@28:     % levels=80:10:90;
rmeddis@28: end
rmeddis@28: 
rmeddis@28: nLevels=length(levels);
rmeddis@28: 
rmeddis@28: toneDuration=.2;
rmeddis@28: rampDuration=0.002;
rmeddis@28: silenceDuration=.02;
rmeddis@28: localPSTHbinwidth=0.001;
rmeddis@28: 
rmeddis@28: % Use only the first frequency in the GUI targetFrequency box to defineBF
rmeddis@28: % targetFrequency=stimulusParameters.targetFrequency(1);
rmeddis@28: % BFlist=targetFrequency;
rmeddis@28: 
rmeddis@28: AN_HSRonset=zeros(nLevels,1);
rmeddis@28: AN_HSRsaturated=zeros(nLevels,1);
rmeddis@28: AN_LSRonset=zeros(nLevels,1);
rmeddis@28: AN_LSRsaturated=zeros(nLevels,1);
rmeddis@28: CNLSRrate=zeros(nLevels,1);
rmeddis@28: CNHSRsaturated=zeros(nLevels,1);
rmeddis@28: ICHSRsaturated=zeros(nLevels,1);
rmeddis@28: ICLSRsaturated=zeros(nLevels,1);
rmeddis@28: vectorStrength=zeros(nLevels,1);
rmeddis@28: 
rmeddis@28: AR=zeros(nLevels,1);
rmeddis@28: MOC=zeros(nLevels,1);
rmeddis@28: 
rmeddis@28: % ANoutput=zeros(200,200);
rmeddis@28: 
rmeddis@28: figure(15), clf
rmeddis@28: set(gcf,'position',[980   356   401   321])
rmeddis@28: figure(5), clf
rmeddis@28: set(gcf,'position', [980 34 400 295])
rmeddis@28: drawnow
rmeddis@28: 
rmeddis@28: %% guarantee that the sample rate is at least 10 times the frequency
rmeddis@28: sampleRate=50000;
rmeddis@28: while sampleRate< 10* targetFrequency
rmeddis@28:     sampleRate=sampleRate+10000;
rmeddis@28: end
rmeddis@28: 
rmeddis@28: %% adjust sample rate so that the pure tone stimulus has an integer
rmeddis@28: %% numver of epochs in a period
rmeddis@28: dt=1/sampleRate;
rmeddis@28: period=1/targetFrequency;
rmeddis@28: ANspeedUpFactor=5;  %anticipating MAP (needs clearing up)
rmeddis@28: ANdt=dt*ANspeedUpFactor;
rmeddis@28: ANdt=period/round(period/ANdt);
rmeddis@28: dt=ANdt/ANspeedUpFactor;
rmeddis@28: sampleRate=1/dt;
rmeddis@28: epochsPerPeriod=sampleRate*period;
rmeddis@28: 
rmeddis@28: %% main computational loop (vary level)    
rmeddis@28: levelNo=0;
rmeddis@28: for leveldB=levels
rmeddis@28:     levelNo=levelNo+1;
rmeddis@28: 
rmeddis@28:     fprintf('%4.0f\t', leveldB)
rmeddis@28:     amp=28e-6*10^(leveldB/20);
rmeddis@28: 
rmeddis@28:     time=dt:dt:toneDuration;
rmeddis@28:     rampTime=dt:dt:rampDuration;
rmeddis@28:     ramp=[0.5*(1+cos(2*pi*rampTime/(2*rampDuration)+pi)) ...
rmeddis@28:         ones(1,length(time)-length(rampTime))];
rmeddis@28:     ramp=ramp.*fliplr(ramp);
rmeddis@28: 
rmeddis@28:     silence=zeros(1,round(silenceDuration/dt));
rmeddis@28: 
rmeddis@28:     % create signal (leveldB/ targetFrequency)
rmeddis@28:     inputSignal=amp*sin(2*pi*targetFrequency'*time);
rmeddis@28:     inputSignal= ramp.*inputSignal;
rmeddis@28:     inputSignal=[silence inputSignal];
rmeddis@28: 
rmeddis@28:     %% run the model
rmeddis@28:     AN_spikesOrProbability='spikes';
rmeddis@28:     MAPparamsName=experiment.name;
rmeddis@28:     showPlotsAndDetails=0;
rmeddis@28: 
rmeddis@28: 
rmeddis@28:     MAP1_14(inputSignal, 1/dt, BFlist, ...
rmeddis@28:         MAPparamsName, AN_spikesOrProbability);
rmeddis@28: 
rmeddis@28:     nTaus=length(tauCas);
rmeddis@28: 
rmeddis@28:     %LSR (same as HSR if no LSR fibers present)
rmeddis@28:     [nANFibers nTimePoints]=size(ANoutput);
rmeddis@28: 
rmeddis@28:     numLSRfibers=nANFibers/nTaus;
rmeddis@28:     numHSRfibers=numLSRfibers;
rmeddis@28: 
rmeddis@28:     LSRspikes=ANoutput(1:numLSRfibers,:);
rmeddis@28:     PSTH=UTIL_PSTHmaker(LSRspikes, ANdt, localPSTHbinwidth);
rmeddis@28:     PSTHLSR=mean(PSTH,1)/localPSTHbinwidth;  % across fibers rates
rmeddis@28:     PSTHtime=localPSTHbinwidth:localPSTHbinwidth:...
rmeddis@28:         localPSTHbinwidth*length(PSTH);
rmeddis@28:     AN_LSRonset(levelNo)= max(PSTHLSR); % peak in 5 ms window
rmeddis@28:     AN_LSRsaturated(levelNo)= mean(PSTHLSR(round(length(PSTH)/2):end));
rmeddis@28: 
rmeddis@28:     % HSR
rmeddis@28:     HSRspikes= ANoutput(end- numHSRfibers+1:end, :);
rmeddis@28:     PSTH=UTIL_PSTHmaker(HSRspikes, ANdt, localPSTHbinwidth);
rmeddis@28:     PSTH=mean(PSTH,1)/localPSTHbinwidth; % sum across fibers (HSR only)
rmeddis@28:     AN_HSRonset(levelNo)= max(PSTH);
rmeddis@28:     AN_HSRsaturated(levelNo)= mean(PSTH(round(length(PSTH)/2): end));
rmeddis@28: 
rmeddis@28:     figure(5), subplot(2,2,2)
rmeddis@28:     hold off, bar(PSTHtime,PSTH, 'b')
rmeddis@28:     hold on,  bar(PSTHtime,PSTHLSR,'r')
rmeddis@28:     ylim([0 1000])
rmeddis@28:     xlim([0 length(PSTH)*localPSTHbinwidth])
rmeddis@28:     set(gcf,'name',[num2str(BFlist), ' Hz: ' num2str(leveldB) ' dB']);
rmeddis@28: 
rmeddis@28:     % AN - CV
rmeddis@28:     %  CV is computed 5 times. Use the middle one (3) as most typical
rmeddis@28:     cvANHSR=  UTIL_CV(HSRspikes, ANdt);
rmeddis@28: 
rmeddis@28:     % AN - vector strength
rmeddis@28:     PSTH=sum(HSRspikes);
rmeddis@28:     [PH, binTimes]=UTIL_periodHistogram...
rmeddis@28:         (PSTH, ANdt, targetFrequency);
rmeddis@28:     VS=UTIL_vectorStrength(PH);
rmeddis@28:     vectorStrength(levelNo)=VS;
rmeddis@28:     disp(['sat rate= ' num2str(AN_HSRsaturated(levelNo)) ...
rmeddis@28:         ';   phase-locking VS = ' num2str(VS)])
rmeddis@28:     title(['AN HSR: CV=' num2str(cvANHSR(3),'%5.2f') ...
rmeddis@28:         'VS=' num2str(VS,'%5.2f')])
rmeddis@28: 
rmeddis@28:     % CN - first-order neurons
rmeddis@28: 
rmeddis@28:     % CN LSR
rmeddis@28:     [nCNneurons c]=size(CNoutput);
rmeddis@28:     nLSRneurons=round(nCNneurons/nTaus);
rmeddis@28:     CNLSRspikes=CNoutput(1:nLSRneurons,:);
rmeddis@28:     PSTH=UTIL_PSTHmaker(CNLSRspikes, ANdt, localPSTHbinwidth);
rmeddis@28:     PSTH=sum(PSTH)/nLSRneurons;
rmeddis@28:     CNLSRrate(levelNo)=mean(PSTH(round(length(PSTH)/2):end))/localPSTHbinwidth;
rmeddis@28: 
rmeddis@28:     %CN HSR
rmeddis@28:     MacGregorMultiHSRspikes=...
rmeddis@28:         CNoutput(end-nLSRneurons:end,:);
rmeddis@28:     PSTH=UTIL_PSTHmaker(MacGregorMultiHSRspikes, ANdt, localPSTHbinwidth);
rmeddis@28:     PSTH=sum(PSTH)/nLSRneurons;
rmeddis@28:     PSTH=mean(PSTH,1)/localPSTHbinwidth; % sum across fibers (HSR only)
rmeddis@28: 
rmeddis@28:     CNHSRsaturated(levelNo)=mean(PSTH(length(PSTH)/2:end));
rmeddis@28: 
rmeddis@28:     figure(5), subplot(2,2,3)
rmeddis@28:     bar(PSTHtime,PSTH)
rmeddis@28:     ylim([0 1000])
rmeddis@28:     xlim([0 length(PSTH)*localPSTHbinwidth])
rmeddis@28:     cvMMHSR= UTIL_CV(MacGregorMultiHSRspikes, ANdt);
rmeddis@28:     title(['CN    CV= ' num2str(cvMMHSR(3),'%5.2f')])
rmeddis@28: 
rmeddis@28:     % IC LSR
rmeddis@28:     [nICneurons c]=size(ICoutput);
rmeddis@28:     nLSRneurons=round(nICneurons/nTaus);
rmeddis@28:     ICLSRspikes=ICoutput(1:nLSRneurons,:);
rmeddis@28:     PSTH=UTIL_PSTHmaker(ICLSRspikes, ANdt, localPSTHbinwidth);
rmeddis@28:     ICLSRsaturated(levelNo)=mean(PSTH(round(length(PSTH)/2):end))/localPSTHbinwidth;
rmeddis@28: 
rmeddis@28:     %IC HSR
rmeddis@28:     MacGregorMultiHSRspikes=...
rmeddis@28:         ICoutput(end-nLSRneurons:end,:);
rmeddis@28:     PSTH=UTIL_PSTHmaker(MacGregorMultiHSRspikes, ANdt, localPSTHbinwidth);
rmeddis@28:     PSTH=sum(PSTH)/nLSRneurons;
rmeddis@28:     PSTH=mean(PSTH,1)/localPSTHbinwidth; % sum across fibers (HSR only)
rmeddis@28: 
rmeddis@28:     ICHSRsaturated(levelNo)=mean(PSTH(length(PSTH)/2:end));
rmeddis@28: 
rmeddis@28:     AR(levelNo)=min(ARattenuation);
rmeddis@28:     MOC(levelNo)=min(MOCattenuation(length(MOCattenuation)/2:end));
rmeddis@28: 
rmeddis@28:     time=dt:dt:dt*size(ICmembraneOutput,2);
rmeddis@28:     figure(5), subplot(2,2,4)
rmeddis@28:     plot(time,ICmembraneOutput(2, 1:end),'k')
rmeddis@28:     ylim([-0.07 0])
rmeddis@28:     xlim([0 max(time)])
rmeddis@28:     title(['IC  ' num2str(leveldB,'%4.0f') 'dB'])
rmeddis@28:     drawnow
rmeddis@28: 
rmeddis@28:     figure(5), subplot(2,2,1)
rmeddis@28:     plot(20*log10(MOC), 'k'),
rmeddis@28:     title(' MOC'), ylabel('dB attenuation')
rmeddis@28:     ylim([-30 0])
rmeddis@28: 
rmeddis@28: 
rmeddis@28: end % level
rmeddis@28: figure(5), subplot(2,2,1)
rmeddis@28: plot(levels,20*log10(MOC), 'k'),
rmeddis@28: title(' MOC'), ylabel('dB attenuation')
rmeddis@28: ylim([-30 0])
rmeddis@28: xlim([0 max(levels)])
rmeddis@28: 
rmeddis@28: fprintf('\n')
rmeddis@28: toneDuration=2;
rmeddis@28: rampDuration=0.004;
rmeddis@28: silenceDuration=.02;
rmeddis@28: nRepeats=200;   % no. of AN fibers
rmeddis@28: fprintf('toneDuration  %6.3f\n', toneDuration)
rmeddis@28: fprintf(' %6.0f  AN fibers (repeats)\n', nRepeats)
rmeddis@28: fprintf('levels')
rmeddis@28: fprintf('%6.2f\t', levels)
rmeddis@28: fprintf('\n')
rmeddis@28: 
rmeddis@28: 
rmeddis@28: % ---------------------------------------------------- display parameters
rmeddis@28: 
rmeddis@28: figure(15), clf
rmeddis@28: nRows=2; nCols=2;
rmeddis@28: 
rmeddis@28: % AN rate - level ONSET functions
rmeddis@28: subplot(nRows,nCols,1)
rmeddis@28: plot(levels,AN_LSRonset,'ro'), hold on
rmeddis@28: plot(levels,AN_HSRonset,'ko'), hold off
rmeddis@28: ylim([0 1000]),  xlim([min(levels) max(levels)])
rmeddis@28: ttl=['tauCa= ' num2str(IHCpreSynapseParams.tauCa)];
rmeddis@28: title( ttl)
rmeddis@28: xlabel('level dB SPL'), ylabel('peak rate (sp/s)'), grid on
rmeddis@28: text(0, 800, 'AN onset', 'fontsize', 16)
rmeddis@28: 
rmeddis@28: % AN rate - level ADAPTED function
rmeddis@28: subplot(nRows,nCols,2)
rmeddis@28: plot(levels,AN_LSRsaturated, 'ro'), hold on
rmeddis@28: plot(levels,AN_HSRsaturated, 'ko'), hold off
rmeddis@28: ylim([0 400])
rmeddis@28: set(gca,'ytick',0:50:300)
rmeddis@28: xlim([min(levels) max(levels)])
rmeddis@28: set(gca,'xtick',[levels(1):20:levels(end)])
rmeddis@28: %     grid on
rmeddis@28: ttl=[   'spont=' num2str(mean(AN_HSRsaturated(1,:)),'%4.0f')...
rmeddis@28:     '  sat=' num2str(mean(AN_HSRsaturated(end,1)),'%4.0f')];
rmeddis@28: title( ttl)
rmeddis@28: xlabel('level dB SPL'), ylabel ('adapted rate (sp/s)')
rmeddis@28: text(0, 340, 'AN adapted', 'fontsize', 16), grid on
rmeddis@28: 
rmeddis@28: % CN rate - level ADAPTED function
rmeddis@28: subplot(nRows,nCols,3)
rmeddis@28: plot(levels,CNLSRrate, 'ro'), hold on
rmeddis@28: plot(levels,CNHSRsaturated, 'ko'), hold off
rmeddis@28: ylim([0 400])
rmeddis@28: set(gca,'ytick',0:50:300)
rmeddis@28: xlim([min(levels) max(levels)])
rmeddis@28: set(gca,'xtick',[levels(1):20:levels(end)])
rmeddis@28: %     grid on
rmeddis@28: ttl=[   'spont=' num2str(mean(CNHSRsaturated(1,:)),'%4.0f') '  sat=' ...
rmeddis@28:     num2str(mean(CNHSRsaturated(end,1)),'%4.0f')];
rmeddis@28: title( ttl)
rmeddis@28: xlabel('level dB SPL'), ylabel ('adapted rate (sp/s)')
rmeddis@28: text(0, 350, 'CN', 'fontsize', 16), grid on
rmeddis@28: 
rmeddis@28: % IC rate - level ADAPTED function
rmeddis@28: subplot(nRows,nCols,4)
rmeddis@28: plot(levels,ICLSRsaturated, 'ro'), hold on
rmeddis@28: plot(levels,ICHSRsaturated, 'ko'), hold off
rmeddis@28: ylim([0 400])
rmeddis@28: set(gca,'ytick',0:50:300)
rmeddis@28: xlim([min(levels) max(levels)])
rmeddis@28: set(gca,'xtick',[levels(1):20:levels(end)]), grid on
rmeddis@28: 
rmeddis@28: 
rmeddis@28: ttl=['spont=' num2str(mean(ICHSRsaturated(1,:)),'%4.0f') ...
rmeddis@28:     '  sat=' num2str(mean(ICHSRsaturated(end,1)),'%4.0f')];
rmeddis@28: title( ttl)
rmeddis@28: xlabel('level dB SPL'), ylabel ('adapted rate (sp/s)')
rmeddis@28: text(0, 350, 'IC', 'fontsize', 16)
rmeddis@28: set(gcf,'name',' AN CN IC rate/level')
rmeddis@28: 
rmeddis@28: peakVectorStrength=max(vectorStrength);
rmeddis@28: 
rmeddis@28: fprintf('\n')
rmeddis@28: disp('levels vectorStrength')
rmeddis@28: fprintf('%3.0f \t %6.4f \n', [levels; vectorStrength'])
rmeddis@28: fprintf('\n')
rmeddis@28: fprintf('Phase locking, max vector strength=\t %6.4f\n\n',...
rmeddis@28:     max(vectorStrength))
rmeddis@28: 
rmeddis@28: allData=[ levels'  AN_HSRonset AN_HSRsaturated...
rmeddis@28:     AN_LSRonset AN_LSRsaturated ...
rmeddis@28:     CNHSRsaturated CNLSRrate...
rmeddis@28:     ICHSRsaturated ICLSRsaturated];
rmeddis@28: fprintf('\n levels \tANHSR Onset \tANHSR adapted\tANLSR Onset \tANLSR adapted\tCNHSR\tCNLSR\tICHSR  \tICLSR \n');
rmeddis@28: UTIL_printTabTable(round(allData))
rmeddis@28: fprintf('VS (phase locking)= \t%6.4f\n\n',...
rmeddis@28:     max(vectorStrength))
rmeddis@28: 
rmeddis@28: UTIL_showStruct(IHC_cilia_RPParams, 'IHC_cilia_RPParams')
rmeddis@28: UTIL_showStruct(IHCpreSynapseParams, 'IHCpreSynapseParams')
rmeddis@28: UTIL_showStruct(AN_IHCsynapseParams, 'AN_IHCsynapseParams')
rmeddis@28: 
rmeddis@28: fprintf('\n')
rmeddis@28: disp('levels vectorStrength')
rmeddis@28: fprintf('%3.0f \t %6.4f \n', [levels; vectorStrength'])
rmeddis@28: fprintf('\n')
rmeddis@28: fprintf('Phase locking, max vector strength= \t%6.4f\n\n',...
rmeddis@28:     max(vectorStrength))
rmeddis@28: 
rmeddis@28: allData=[ levels'  AN_HSRonset AN_HSRsaturated...
rmeddis@28:     AN_LSRonset AN_LSRsaturated ...
rmeddis@28:     CNHSRsaturated CNLSRrate...
rmeddis@28:     ICHSRsaturated ICLSRsaturated];
rmeddis@28: fprintf('\n levels \tANHSR Onset \tANHSR adapted\tANLSR Onset \tANLSR adapted\tCNHSR\tCNLSR\tICHSR  \tICLSR \n');
rmeddis@28: UTIL_printTabTable(round(allData))
rmeddis@28: fprintf('VS (phase locking)= \t%6.4f\n\n',...
rmeddis@28:     max(vectorStrength))
rmeddis@28: