MAP

function testANprob(targetFrequency,BFlist, levels, ...

    paramsName, paramChanges)

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

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

% A 'probability' model is used.

% e.g.

% testANprob(1000,1000, -10:10:80, 'Normal')

global IHC_VResp_VivoParams  IHC_cilia_RPParams IHCpreSynapseParams

global AN_IHCsynapseParams

global ANprobRateOutput dt ANtauCas

global ARattenuation MOCattenuation

AN_spikesOrProbability='probability';

dbstop if error

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; end

if nargin==0, targetFrequency=1000; BFlist=1000; 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);

AR=zeros(nLevels,1);

MOC=zeros(nLevels,1);

figure(15), clf

set(gcf,'position',[980   356   401   321])

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;

%% 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

    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(ANprobRateOutput);

    numLSRfibers=1;

    numHSRfibers=numLSRfibers;

    LSRspikes=ANprobRateOutput(1:numLSRfibers,:);

    PSTH=UTIL_PSTHmaker(LSRspikes, dt, localPSTHbinwidth);

    PSTHLSR=PSTH/(localPSTHbinwidth/dt);  % 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= ANprobRateOutput(end- numHSRfibers+1:end, :);

    PSTH=UTIL_PSTHmaker(HSRspikes, dt, localPSTHbinwidth);

    PSTH=PSTH/(localPSTHbinwidth/dt); % sum across fibers (HSR only)

    AN_HSRonset(levelNo)= max(PSTH);

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

    figure(15), subplot(2,2,4)

    hold off, bar(PSTHtime,PSTH, 'k')

    hold on,  bar(PSTHtime,PSTHLSR,'r')

    ylim([0 1000])

    xlim([0 length(PSTH)*localPSTHbinwidth])

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

    AR(levelNo)=min(ARattenuation);

    MOC(levelNo)=min(MOCattenuation(length(MOCattenuation)/2:end));

    figure(15), subplot(2,2,3)

    plot(20*log10(MOC), 'k'), hold on

    plot(20*log10(AR), 'r'),  hold off

    title(' MOC/AR'), ylabel('dB attenuation')

    ylim([-30 0])

end % level

figure(15), subplot(2,2,3)

plot(levels,20*log10(MOC), 'k'), hold on

plot(levels,20*log10(AR), 'r'),  hold off

title(' MOC/AR'), 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

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', 'MarkerEdgeColor','k', 'markerFaceColor','k'), 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', 14)

% AN rate - level ADAPTED function

subplot(nRows,nCols,2)

plot(levels,AN_LSRsaturated, 'ro'), hold on

plot(levels,AN_HSRsaturated, 'ko', 'MarkerEdgeColor','k', 'markerFaceColor','k'), hold off

maxYlim=340;

ylim([0 maxYlim])

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, maxYlim-50, 'AN adapted', 'fontsize', 14), grid on

allData=[ levels'  AN_HSRonset AN_HSRsaturated...

    AN_LSRonset AN_LSRsaturated ];

fprintf('\n levels \tANHSR Onset \tANHSR adapted\tANLSR Onset \tANLSR adapted\tCNHSR\tCNLSR\tICHSR  \tICLSR \n');

UTIL_printTabTable(round(allData))

UTIL_showStruct(IHC_cilia_RPParams, 'IHC_cilia_RPParams')

UTIL_showStruct(IHCpreSynapseParams, 'IHCpreSynapseParams')

UTIL_showStruct(AN_IHCsynapseParams, 'AN_IHCsynapseParams')

allData=[ levels'  AN_HSRonset AN_HSRsaturated...

    AN_LSRonset AN_LSRsaturated ];

fprintf('\n levels \tANHSR Onset \tANHSR adapted\tANLSR Onset \tANLSR adapted\tCNHSR\tCNLSR\tICHSR  \tICLSR \n');

UTIL_printTabTable(round(allData))