rmeddis@28: function testPeriphery (BMlocations, paramsName) rmeddis@28: % testBM generates input output functions for DRNL model for any number rmeddis@28: % of locations. rmeddis@28: % Computations are bast on a single channel model (channelBFs=BF) rmeddis@28: % peak displacement (peakAmp) is measured. rmeddis@28: % if DRNLParams.useMOC is chosen, the full model is run (slow) rmeddis@28: % otherwise only DRNL is computed. rmeddis@28: % Tuning curves are generated based on a range of frequencies reletove to rmeddis@28: % the BF of the location. rmeddis@28: % rmeddis@28: rmeddis@28: global DRNLParams rmeddis@28: rmeddis@28: savePath=path; rmeddis@28: rmeddis@28: addpath (['..' filesep 'utilities'],['..' filesep 'MAP']) rmeddis@28: rmeddis@28: levels=-10:10:90; nLevels=length(levels); rmeddis@28: % levels= 50; nLevels=length(levels); rmeddis@28: rmeddis@28: % relativeFrequencies=[0.25 .5 .75 1 1.25 1.5 2]; rmeddis@28: relativeFrequencies=1; rmeddis@28: rmeddis@28: % refBMdisplacement is the displacement of the BM at threshold rmeddis@28: % 1 nm disp at threshold (9 kHz, Ruggero) rmeddis@28: refBMdisplacement= 1e-8; % adjusted for 10 nm at 1 kHz rmeddis@28: rmeddis@28: toneDuration=.200; rmeddis@28: rampDuration=0.01; rmeddis@28: silenceDuration=0.01; rmeddis@28: rmeddis@28: sampleRate=30000; rmeddis@28: rmeddis@28: dbstop if error rmeddis@28: figure(3), clf rmeddis@28: % set(gcf,'position',[276 33 331 645]) rmeddis@28: set(gcf,'name','DRNL - BM') rmeddis@28: rmeddis@28: finalSummary=[]; rmeddis@28: nBFs=length(BMlocations); rmeddis@28: BFno=0; plotCount=0; rmeddis@28: for BF=BMlocations rmeddis@28: BFno=BFno+1; rmeddis@28: plotCount=plotCount+nBFs; rmeddis@28: stimulusFrequencies=BF* relativeFrequencies; rmeddis@28: nFrequencies=length(stimulusFrequencies); rmeddis@28: rmeddis@28: peakAmpBM=zeros(nLevels,nFrequencies); rmeddis@28: peakAmpBMdB=NaN(nLevels,nFrequencies); rmeddis@28: peakEfferent=NaN(nLevels,nFrequencies); rmeddis@28: peakAREfferent=NaN(nLevels,nFrequencies); rmeddis@28: rmeddis@28: rmeddis@28: levelNo=0; rmeddis@28: for leveldB=levels rmeddis@28: disp(['level= ' num2str(leveldB)]) rmeddis@28: levelNo=levelNo+1; rmeddis@28: rmeddis@28: freqNo=0; rmeddis@28: for frequency=stimulusFrequencies rmeddis@28: freqNo=freqNo+1; rmeddis@28: rmeddis@28: % Generate stimuli rmeddis@28: globalStimParams.FS=sampleRate; rmeddis@28: globalStimParams.overallDuration=... rmeddis@28: toneDuration+silenceDuration; % s rmeddis@28: stim.type='tone'; rmeddis@28: stim.phases='sin'; rmeddis@28: stim.toneDuration=toneDuration; rmeddis@28: stim.frequencies=frequency; rmeddis@28: stim.amplitudesdB=leveldB; rmeddis@28: stim.beginSilence=silenceDuration; rmeddis@28: stim.rampOnDur=rampDuration; rmeddis@28: stim.rampOffDur=rampDuration; rmeddis@28: doPlot=0; rmeddis@28: inputSignal=stimulusCreate(globalStimParams, stim, doPlot); rmeddis@28: inputSignal=inputSignal(:,1)'; rmeddis@28: rmeddis@28: %% run the model rmeddis@28: MAPparamsName=paramsName; rmeddis@28: AN_spikesOrProbability='probability'; rmeddis@28: % spikes are slow but can be used to study MOC using IC units rmeddis@28: % AN_spikesOrProbability='spikes'; rmeddis@28: rmeddis@28: global DRNLoutput MOCattenuation ARattenuation IHCoutput rmeddis@28: MAP1_14(inputSignal, sampleRate, BF, ... rmeddis@28: MAPparamsName, AN_spikesOrProbability); rmeddis@28: rmeddis@28: DRNLresponse=IHCoutput; rmeddis@28: peakAmp=max(max(... rmeddis@28: DRNLresponse(:, end-round(length(DRNLresponse)/2):end))); rmeddis@28: peakAmpBM(levelNo,freqNo)=peakAmp; rmeddis@28: if peakAmp>0 rmeddis@28: peakAmpBMdB(levelNo,freqNo)=... rmeddis@28: 20*log10(peakAmp/refBMdisplacement); rmeddis@28: else rmeddis@28: peakAmpBMdB(levelNo,freqNo)=peakAmp; rmeddis@28: end rmeddis@28: peakEfferent(levelNo,freqNo)=min(min(MOCattenuation)); rmeddis@28: peakAREfferent(levelNo,freqNo)=min(min(ARattenuation)); rmeddis@28: rmeddis@28: end % tone frequency rmeddis@28: end % level rmeddis@28: rmeddis@28: %% analyses results and plot rmeddis@28: rmeddis@28: % BM I/O plot (top panel) rmeddis@28: figure(3) rmeddis@28: subplot(3,nBFs,BFno), cla rmeddis@28: plot(levels,peakAmpBMdB, 'linewidth',2) rmeddis@28: hold on, plot(levels, repmat(refBMdisplacement,1,length(levels))) rmeddis@28: hold off rmeddis@28: title(['BF=' num2str(BF,'%5.0f') ' - ' paramsName]) rmeddis@28: xlabel('level') rmeddis@28: % set(gca,'xtick',levels), grid on rmeddis@28: if length(levels)>1,xlim([min(levels) max(levels)]), end rmeddis@28: ylabel(['dB re:' num2str(refBMdisplacement,'%6.1e') 'm']) rmeddis@28: ylim([-20 50]) rmeddis@28: set(gca,'ytick',[-10 0 10 20 40]) rmeddis@28: % legend({num2str(stimulusFrequencies')}, 'location', 'EastOutside') rmeddis@28: UTIL_printTabTable([levels' peakAmpBMdB], ... rmeddis@28: num2str([0 stimulusFrequencies]','%5.0f'), '%5.0f') rmeddis@28: finalSummary=[finalSummary peakAmpBMdB]; rmeddis@28: rmeddis@28: % Tuning curve rmeddis@28: if length(relativeFrequencies)>2 rmeddis@28: figure(3), subplot(3,nBFs, nBFs+BFno) rmeddis@28: % contour(stimulusFrequencies,levels,peakAmpBM,... rmeddis@28: % [refBMdisplacement refBMdisplacement],'r') rmeddis@28: contour(stimulusFrequencies,levels,peakAmpBM,... rmeddis@28: refBMdisplacement.*[1 5 10 50 100]) rmeddis@28: title(['tuning curve at ' num2str(refBMdisplacement) 'm']); rmeddis@28: ylabel('level (dB) at reference') rmeddis@28: xlim([100 10000]) rmeddis@28: hold on rmeddis@28: set(gca,'xscale','log') rmeddis@28: end rmeddis@28: rmeddis@28: rmeddis@28: % MOC contribution rmeddis@28: figure(3) rmeddis@28: subplot(3,nBFs,2*nBFs+BFno), cla rmeddis@28: plot(levels,20*log10(peakEfferent), 'linewidth',2) rmeddis@28: ylabel('MOC (dB attenuation)'), xlabel('level') rmeddis@28: title(['peak MOC: model= ' AN_spikesOrProbability]) rmeddis@28: grid on rmeddis@28: if length(levels)>1, xlim([min(levels) max(levels)]), end rmeddis@28: rmeddis@28: % AR contribution rmeddis@28: hold on rmeddis@28: plot(levels,20*log10(peakAREfferent), 'r') rmeddis@28: hold off rmeddis@28: rmeddis@28: end % best frequency rmeddis@28: rmeddis@28: UTIL_showStructureSummary(DRNLParams, 'DRNLParams', 10) rmeddis@28: rmeddis@28: UTIL_printTabTable([levels' finalSummary], ... rmeddis@28: num2str([0 stimulusFrequencies]','%5.0f'), '%5.0f') rmeddis@28: rmeddis@28: path(savePath);