rmeddis@29: function testPeriphery (BMlocations, paramsName) rmeddis@29: % testBM generates input output functions for DRNL model for any number rmeddis@29: % of locations. rmeddis@29: % Computations are bast on a single channel model (channelBFs=BF) rmeddis@29: % peak displacement (peakAmp) is measured. rmeddis@29: % if DRNLParams.useMOC is chosen, the full model is run (slow) rmeddis@29: % otherwise only DRNL is computed. rmeddis@29: % Tuning curves are generated based on a range of frequencies reletove to rmeddis@29: % the BF of the location. rmeddis@29: % rmeddis@29: rmeddis@29: global DRNLParams rmeddis@29: rmeddis@29: savePath=path; rmeddis@29: rmeddis@29: addpath (['..' filesep 'utilities'],['..' filesep 'MAP']) rmeddis@29: rmeddis@29: levels=-10:10:90; nLevels=length(levels); rmeddis@29: % levels= 50; nLevels=length(levels); rmeddis@29: rmeddis@29: % relativeFrequencies=[0.25 .5 .75 1 1.25 1.5 2]; rmeddis@29: relativeFrequencies=1; rmeddis@29: rmeddis@29: % refBMdisplacement is the displacement of the BM at threshold rmeddis@29: % 1 nm disp at threshold (9 kHz, Ruggero) rmeddis@29: refBMdisplacement= 1e-8; % adjusted for 10 nm at 1 kHz rmeddis@29: rmeddis@29: toneDuration=.200; rmeddis@29: rampDuration=0.01; rmeddis@29: silenceDuration=0.01; rmeddis@29: rmeddis@29: sampleRate=30000; rmeddis@29: rmeddis@29: dbstop if error rmeddis@29: figure(3), clf rmeddis@29: % set(gcf,'position',[276 33 331 645]) rmeddis@29: set(gcf,'name','DRNL - BM') rmeddis@29: rmeddis@29: finalSummary=[]; rmeddis@29: nBFs=length(BMlocations); rmeddis@29: BFno=0; plotCount=0; rmeddis@29: for BF=BMlocations rmeddis@29: BFno=BFno+1; rmeddis@29: plotCount=plotCount+nBFs; rmeddis@29: stimulusFrequencies=BF* relativeFrequencies; rmeddis@29: nFrequencies=length(stimulusFrequencies); rmeddis@29: rmeddis@29: peakAmpBM=zeros(nLevels,nFrequencies); rmeddis@29: peakAmpBMdB=NaN(nLevels,nFrequencies); rmeddis@29: peakEfferent=NaN(nLevels,nFrequencies); rmeddis@29: peakAREfferent=NaN(nLevels,nFrequencies); rmeddis@29: rmeddis@29: rmeddis@29: levelNo=0; rmeddis@29: for leveldB=levels rmeddis@29: disp(['level= ' num2str(leveldB)]) rmeddis@29: levelNo=levelNo+1; rmeddis@29: rmeddis@29: freqNo=0; rmeddis@29: for frequency=stimulusFrequencies rmeddis@29: freqNo=freqNo+1; rmeddis@29: rmeddis@29: % Generate stimuli rmeddis@29: globalStimParams.FS=sampleRate; rmeddis@29: globalStimParams.overallDuration=... rmeddis@29: toneDuration+silenceDuration; % s rmeddis@29: stim.type='tone'; rmeddis@29: stim.phases='sin'; rmeddis@29: stim.toneDuration=toneDuration; rmeddis@29: stim.frequencies=frequency; rmeddis@29: stim.amplitudesdB=leveldB; rmeddis@29: stim.beginSilence=silenceDuration; rmeddis@29: stim.rampOnDur=rampDuration; rmeddis@29: stim.rampOffDur=rampDuration; rmeddis@29: doPlot=0; rmeddis@29: inputSignal=stimulusCreate(globalStimParams, stim, doPlot); rmeddis@29: inputSignal=inputSignal(:,1)'; rmeddis@29: rmeddis@29: %% run the model rmeddis@29: MAPparamsName=paramsName; rmeddis@29: AN_spikesOrProbability='probability'; rmeddis@29: % spikes are slow but can be used to study MOC using IC units rmeddis@29: % AN_spikesOrProbability='spikes'; rmeddis@29: rmeddis@29: global DRNLoutput MOCattenuation ARattenuation IHCoutput rmeddis@29: MAP1_14(inputSignal, sampleRate, BF, ... rmeddis@29: MAPparamsName, AN_spikesOrProbability); rmeddis@29: rmeddis@29: DRNLresponse=IHCoutput; rmeddis@29: peakAmp=max(max(... rmeddis@29: DRNLresponse(:, end-round(length(DRNLresponse)/2):end))); rmeddis@29: peakAmpBM(levelNo,freqNo)=peakAmp; rmeddis@29: if peakAmp>0 rmeddis@29: peakAmpBMdB(levelNo,freqNo)=... rmeddis@29: 20*log10(peakAmp/refBMdisplacement); rmeddis@29: else rmeddis@29: peakAmpBMdB(levelNo,freqNo)=peakAmp; rmeddis@29: end rmeddis@29: peakEfferent(levelNo,freqNo)=min(min(MOCattenuation)); rmeddis@29: peakAREfferent(levelNo,freqNo)=min(min(ARattenuation)); rmeddis@29: rmeddis@29: end % tone frequency rmeddis@29: end % level rmeddis@29: rmeddis@29: %% analyses results and plot rmeddis@29: rmeddis@29: % BM I/O plot (top panel) rmeddis@29: figure(3) rmeddis@29: subplot(3,nBFs,BFno), cla rmeddis@29: plot(levels,peakAmpBMdB, 'linewidth',2) rmeddis@29: hold on, plot(levels, repmat(refBMdisplacement,1,length(levels))) rmeddis@29: hold off rmeddis@29: title(['BF=' num2str(BF,'%5.0f') ' - ' paramsName]) rmeddis@29: xlabel('level') rmeddis@29: % set(gca,'xtick',levels), grid on rmeddis@29: if length(levels)>1,xlim([min(levels) max(levels)]), end rmeddis@29: ylabel(['dB re:' num2str(refBMdisplacement,'%6.1e') 'm']) rmeddis@29: ylim([-20 50]) rmeddis@29: set(gca,'ytick',[-10 0 10 20 40]) rmeddis@29: % legend({num2str(stimulusFrequencies')}, 'location', 'EastOutside') rmeddis@29: UTIL_printTabTable([levels' peakAmpBMdB], ... rmeddis@29: num2str([0 stimulusFrequencies]','%5.0f'), '%5.0f') rmeddis@29: finalSummary=[finalSummary peakAmpBMdB]; rmeddis@29: rmeddis@29: % Tuning curve rmeddis@29: if length(relativeFrequencies)>2 rmeddis@29: figure(3), subplot(3,nBFs, nBFs+BFno) rmeddis@29: % contour(stimulusFrequencies,levels,peakAmpBM,... rmeddis@29: % [refBMdisplacement refBMdisplacement],'r') rmeddis@29: contour(stimulusFrequencies,levels,peakAmpBM,... rmeddis@29: refBMdisplacement.*[1 5 10 50 100]) rmeddis@29: title(['tuning curve at ' num2str(refBMdisplacement) 'm']); rmeddis@29: ylabel('level (dB) at reference') rmeddis@29: xlim([100 10000]) rmeddis@29: hold on rmeddis@29: set(gca,'xscale','log') rmeddis@29: end rmeddis@29: rmeddis@29: rmeddis@29: % MOC contribution rmeddis@29: figure(3) rmeddis@29: subplot(3,nBFs,2*nBFs+BFno), cla rmeddis@29: plot(levels,20*log10(peakEfferent), 'linewidth',2) rmeddis@29: ylabel('MOC (dB attenuation)'), xlabel('level') rmeddis@29: title(['peak MOC: model= ' AN_spikesOrProbability]) rmeddis@29: grid on rmeddis@29: if length(levels)>1, xlim([min(levels) max(levels)]), end rmeddis@29: rmeddis@29: % AR contribution rmeddis@29: hold on rmeddis@29: plot(levels,20*log10(peakAREfferent), 'r') rmeddis@29: hold off rmeddis@29: rmeddis@29: end % best frequency rmeddis@29: rmeddis@29: UTIL_showStructureSummary(DRNLParams, 'DRNLParams', 10) rmeddis@29: rmeddis@29: UTIL_printTabTable([levels' finalSummary], ... rmeddis@29: num2str([0 stimulusFrequencies]','%5.0f'), '%5.0f') rmeddis@29: rmeddis@29: path(savePath);