MAP

function testFM(showPSTHs)

%   specify whether you want AN 'probability' or 'spikes'

%       spikes is more realistic but takes longer

%       refractory effect is included only for spikes

%

% specify the AN ANresponse bin width (normally 1 ms).

%      This can influence the measure of the AN onset rate based on the

%      largest bin in the ANresponse

%

% Demonstration is based on Harris and Dallos

global experiment  stimulusParameters

global inputStimulusParams outerMiddleEarParams DRNLParams 

global IHC_VResp_VivoParams IHCpreSynapseParams  AN_IHCsynapseParams

dbstop if error

% masker and probe levels are relative to this threshold

thresholdAtCF=10; % dB SPL

thresholdAtCF=5; % dB SPL

if nargin<1, showPSTHs=1;end

sampleRate=50000;

% fetch BF from GUI: use only the first target frequency

BFlist=stimulusParameters.targetFrequency(1);

maskerFrequency=BFlist;

maskerDuration=.1;

targetFrequency=maskerFrequency;

probeLeveldB=20+thresholdAtCF;	% H&D use 20 dB SL/ TMC uses 10 dB SL

probeDuration=0.008; % HD use 15 ms probe (fig 3).

probeDuration=0.015; % HD use 15 ms probe (fig 3).

rampDuration=.001;  % HD use 1 ms linear ramp

initialSilenceDuration=0.02;

finalSilenceDuration=0.05;      % useful for showing recovery

maskerLevels=[-80   10 20 30 40 60 ] + thresholdAtCF;

% maskerLevels=[-80   40 60 ] + thresholdAtCF;

dt=1/sampleRate;

figure(7), clf

set(gcf,'position',[613    36   360   247])

set(gcf,'name', ['forward masking: thresholdAtCF=' num2str(thresholdAtCF)])

if showPSTHs

    figure(8), clf

    set(gcf,'name', 'Harris and Dallos simulation')

    set(gcf,'position',[980    36   380   249])

end

% Plot Harris and Dallos result for comparison

gapDurations=[0.001	0.002	0.005	0.01	0.02	0.05	0.1	0.3];

HDmaskerLevels=[+10	+20	+30	+40	+60];

HDresponse=[

    1 1 1 1 1 1 1 1;

    0.8  	0.82	0.81	0.83	0.87	0.95	1	    1;

    0.48	0.5	    0.54	0.58	0.7	    0.85	0.95	1;

    0.3	    0.31	0.35	0.4	    0.5	    0.68	0.82	0.94;

    0.2 	0.27	0.27	0.29	0.42	0.64	0.75	0.92;

    0.15	0.17	0.18	0.23	0.3	     0.5	0.6	    0.82];

figure(7)

semilogx(gapDurations,HDresponse,'o'), hold on

legend(strvcat(num2str(maskerLevels')),'location','southeast')

title([ 'masker dB: ' num2str(HDmaskerLevels)])

%% Run the trials

maxProbeResponse=0;

levelNo=0;

resultsMatrix=zeros(length(maskerLevels), length(gapDurations));

summaryFiringRates=[];

% initial silence

time=dt: dt: initialSilenceDuration;

initialSilence=zeros(1,length(time));

% probe

time=dt: dt: probeDuration;

amp=28e-6*10^(probeLeveldB/20);

probe=amp*sin(2*pi.*targetFrequency*time);

% ramps

% catch rampTime error

if rampDuration>0.5*probeDuration, rampDuration=probeDuration/2; end

rampTime=dt:dt:rampDuration;

% raised cosine ramp

ramp=[0.5*(1+cos(2*pi*rampTime/(2*rampDuration)+pi)) ...

    ones(1,length(time)-length(rampTime))];

%  onset ramp

probe=probe.*ramp;

%  offset ramp makes complete ramp for probe

ramp=fliplr(ramp);

% apply ramp mask to probe. Probe does not change below

probe=probe.*ramp;

% final silence

time=dt: dt: finalSilenceDuration;

finalSilence=zeros(1,length(time));

PSTHplotCount=0;

longestSignalDuration=initialSilenceDuration + maskerDuration +...

    max(gapDurations) + probeDuration + finalSilenceDuration ;

for maskerLeveldB=maskerLevels

    levelNo=levelNo+1;

    allDurations=[];

    allFiringRates=[];

    %masker

    time=dt: dt: maskerDuration;

    masker=sin(2*pi.*maskerFrequency*time);

    % masker ramps

    if rampDuration>0.5*maskerDuration

        % catch ramp duration error

        rampDuration=maskerDuration/2;

    end

    % NB masker ramp (not probe ramp)

    rampTime=dt:dt:rampDuration;

    % raised cosine ramp

    ramp=[0.5*(1+cos(2*pi*rampTime/(2*rampDuration)+pi))...

        ones(1,length(time)-length(rampTime))];

    %  onset ramp

    masker=masker.*ramp;

    %  offset ramp

    ramp=fliplr(ramp);

    % apply ramp

    masker=masker.*ramp;

    amp=28e-6*10^(maskerLeveldB/20);

    maskerPa=amp*masker;

    for gapDuration=gapDurations

        time=dt: dt: gapDuration;

        gap=zeros(1,length(time));

        inputSignal=...

            [initialSilence maskerPa gap probe finalSilence];

        % **********************************  run MAP model

        global  ANprobRateOutput  tauCas  ...

    MAPparamsName=experiment.name;

    showPlotsAndDetails=0;

AN_spikesOrProbability='probability';

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

    MAPparamsName, AN_spikesOrProbability);

    [nFibers c]=size(ANprobRateOutput);

    nLSRfibers=nFibers/length(tauCas);

            ANresponse=ANprobRateOutput(end-nLSRfibers:end,:);

            ANresponse=sum(ANresponse)/nLSRfibers;

        % analyse results

        probeStart=initialSilenceDuration+maskerDuration+gapDuration;

        PSTHbinWidth=dt;

        responseDelay=0.005;

        probeTimes=probeStart+responseDelay:...

            PSTHbinWidth:probeStart+probeDuration+responseDelay;

        probeIDX=round(probeTimes/PSTHbinWidth);

        probePSTH=ANresponse(probeIDX);

        firingRate=mean(probePSTH);

        % NB this only works if you start with the lowest level masker

        maxProbeResponse=max([maxProbeResponse firingRate]);

        allDurations=[allDurations gapDuration];

        allFiringRates=[allFiringRates firingRate];

        %% show PSTHs

        if showPSTHs

            nLevels=length(maskerLevels);

            nDurations=length(gapDurations);

            figure(8)

            PSTHbinWidth=1e-3;

            PSTH=UTIL_PSTHmaker(ANresponse, dt, PSTHbinWidth);

            PSTH=PSTH*dt/PSTHbinWidth;

            PSTHplotCount=PSTHplotCount+1;

            subplot(nLevels,nDurations,PSTHplotCount)

            probeTime=PSTHbinWidth:PSTHbinWidth:...

                PSTHbinWidth*length(PSTH);

            bar(probeTime, PSTH)

            if strcmp(AN_spikesOrProbability, 'spikes')

                ylim([0 500])

            else

                ylim([0 500])

            end

            xlim([0 longestSignalDuration])

            grid on

            if PSTHplotCount< (nLevels-1) * nDurations+1

                set(gca,'xticklabel',[])

            end

            if ~isequal(mod(PSTHplotCount,nDurations),1)

                set(gca,'yticklabel',[])

            else

                ylabel([num2str(maskerLevels...

                    (round(PSTHplotCount/nDurations) +1))])

            end

            if PSTHplotCount<=nDurations

                title([num2str(1000*gapDurations(PSTHplotCount)) 'ms'])

            end

        end % showPSTHs

    end     % gapDurations duration

    summaryFiringRates=[summaryFiringRates allFiringRates'];

    figure(7), hold on

    semilogx(allDurations, allFiringRates/maxProbeResponse)

    ylim([0 1]), hold on

    ylim([0 inf]), xlim([min(gapDurations) max(gapDurations)])

    xlim([0.001 1])

    pause(0.1) % to allow for CTRL/C interrupts

    resultsMatrix(levelNo,:)=allFiringRates;

end          % maskerLevel

disp('delay/ rates')

disp(num2str(round( [1000*allDurations' summaryFiringRates])))

% replot with best adjustment

% figure(34), clf% use for separate plot

figure(7), clf

peakProbe=max(max(resultsMatrix));

resultsMatrix=resultsMatrix/peakProbe;

semilogx(gapDurations,HDresponse,'o'), hold on

title(['FrMsk: probe ' num2str(probeLeveldB)...

    'dB SL: peakProbe=' num2str(peakProbe,'%5.0f') ' sp/s'])

xlabel('gap duration (s)'), ylabel ('probe response')

semilogx(allDurations, resultsMatrix'), ylim([0 1])

ylim([0 inf]),

xlim([0.001 1])

legend(strvcat(num2str(maskerLevels'-thresholdAtCF)), -1)

% ------------------------------------------------- display parameters

disp(['parameter file was: ' experiment.name])

fprintf('\n')

% UTIL_showStruct(inputStimulusParams, 'inputStimulusParams')

% UTIL_showStruct(outerMiddleEarParams, 'outerMiddleEarParams')

% UTIL_showStruct(DRNLParams, 'DRNLParams')

% UTIL_showStruct(IHC_VResp_VivoParams, 'IHC_VResp_VivoParams')

UTIL_showStruct(IHCpreSynapseParams, 'IHCpreSynapseParams')

UTIL_showStruct(AN_IHCsynapseParams, 'AN_IHCsynapseParams')