MAP

function vectorStrength=testAN(targetFrequency,BFlist, levels, ...

    paramsName,paramChanges)

% generates rate/level functions for AN and brainstem units.

%  also other information like PSTHs, MOC efferent activity levels.

% testAN(1000,1000, -10:10:80,'Normal',[]);

global IHC_VResp_VivoParams  IHC_cilia_RPParams IHCpreSynapseParams

global AN_IHCsynapseParams

global ANoutput ANdt CNoutput ICoutput ICmembraneOutput ANtauCas

global ARattenuation MOCattenuation

dbstop if error

restorePath=path;

addpath (['..' filesep 'MAP'], ['..' filesep 'utilities'], ...

    ['..' filesep 'parameterStore'],  ['..' filesep 'wavFileStore'],...

    ['..' filesep 'testPrograms'])

if nargin<5

    paramChanges=[];

end

if nargin<4

    paramsName='Normal';

end

if nargin<3

    levels=-10:10:80;

    % levels=80:10:90;

end

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

%% guarantee that the sample rate is at least 10 times the frequency

sampleRate=50000;

while sampleRate< 10* targetFrequency

    sampleRate=sampleRate+10000;

end

%% adjust sample rate so that the pure tone stimulus has an integer

%% numver of epochs in a period

dt=1/sampleRate;

period=1/targetFrequency;

ANspeedUpFactor=5;  %anticipating MAP (needs clearing up)

ANdt=dt*ANspeedUpFactor;

ANdt=period/round(period/ANdt);

dt=ANdt/ANspeedUpFactor;

sampleRate=1/dt;

epochsPerPeriod=sampleRate*period;

%% main computational loop (vary level)

levelNo=0;

for leveldB=levels

    levelNo=levelNo+1;

    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';

    showPlotsAndDetails=0;

    MAP1_14(inputSignal, 1/dt, BFlist, ...

        paramsName, AN_spikesOrProbability, paramChanges);

    nTaus=length(ANtauCas);

    %LSR (same as HSR if no LSR fibers present)

    [nANFibers nTimePoints]=size(ANoutput);

    numLSRfibers=nANFibers/nTaus;

    numHSRfibers=numLSRfibers;

    LSRspikes=ANoutput(1:numLSRfibers,:);

    PSTH=UTIL_PSTHmaker(LSRspikes, ANdt, 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_PSTHmaker(HSRspikes, ANdt, 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])

    set(gcf,'name',['PSTH: ' num2str(BFlist), ' Hz: ' num2str(leveldB) ' dB']);

    % AN - CV

    %  CV is computed 5 times. Use the middle one (3) as most typical

    cvANHSR=  UTIL_CV(HSRspikes, ANdt);

    % AN - vector strength

    PSTH=sum(HSRspikes);

    [PH, binTimes]=UTIL_periodHistogram...

        (PSTH, ANdt, 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_PSTHmaker(CNLSRspikes, ANdt, localPSTHbinwidth);

    PSTH=sum(PSTH)/nLSRneurons;

    CNLSRrate(levelNo)=mean(PSTH(round(length(PSTH)/2):end))/localPSTHbinwidth;

    %CN HSR

    MacGregorMultiHSRspikes=...

        CNoutput(end-nLSRneurons:end,:);

    PSTH=UTIL_PSTHmaker(MacGregorMultiHSRspikes, ANdt, 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, ANdt);

    title(['CN    CV= ' num2str(cvMMHSR(3),'%5.2f')])

    % IC LSR

    [nICneurons c]=size(ICoutput);

    nLSRneurons=round(nICneurons/nTaus);

    ICLSRspikes=ICoutput(1:nLSRneurons,:);

    PSTH=UTIL_PSTHmaker(ICLSRspikes, ANdt, localPSTHbinwidth);

    ICLSRsaturated(levelNo)=mean(PSTH(round(length(PSTH)/2):end))/localPSTHbinwidth;

    %IC HSR

    MacGregorMultiHSRspikes=...

        ICoutput(end-nLSRneurons:end,:);

    PSTH=UTIL_PSTHmaker(MacGregorMultiHSRspikes, ANdt, 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

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')

peakVectorStrength=max(vectorStrength);

fprintf('\n')

disp('levels vectorStrength')

fprintf('%3.0f \t %6.4f \n', [levels; vectorStrength'])

fprintf('\n')

fprintf('Phase locking, max vector strength=\t %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))

UTIL_showStruct(IHC_cilia_RPParams, 'IHC_cilia_RPParams')

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= \t%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))

path(restorePath)