rmeddis@0: function test_MAP1_14 rmeddis@15: % test_MAP1_14 is a general purpose test routine that can be adjusted to rmeddis@15: % test a number of different applications of MAP1_14 rmeddis@15: % rmeddis@15: % A range of options are supplied in the early part of the program rmeddis@15: % rmeddis@15: % One use of the function is to create demonstrations; filenames rmeddis@15: % to illustrate particular features rmeddis@15: % rmeddis@15: % #1 rmeddis@15: % Identify the file (in 'MAPparamsName') containing the model parameters rmeddis@19: % rmeddis@15: % #2 rmeddis@15: % Identify the kind of model required (in 'AN_spikesOrProbability'). rmeddis@15: % A full brainstem model (spikes) can be computed or a shorter model rmeddis@15: % (probability) that computes only so far as the auditory nerve rmeddis@15: % rmeddis@15: % #3 rmeddis@15: % Choose between a tone signal or file input (in 'signalType') rmeddis@15: % rmeddis@15: % #4 rmeddis@15: % Set the signal rms level (in leveldBSPL) rmeddis@15: % rmeddis@15: % #5 rmeddis@23: % Identify the channels in terms of their best frequencies in the vector rmeddis@15: % BFlist. rmeddis@15: % rmeddis@15: % Last minute changes to the parameters fetched earlier can be made using rmeddis@15: % the cell array of strings 'paramChanges'. rmeddis@15: % Each string must have the same format as the corresponding line in the rmeddis@15: % file identified in 'MAPparamsName' rmeddis@15: % rmeddis@15: % When the demonstration is satisfactory, freeze it by renaming it rmeddis@0: rmeddis@25: dbstop if error rmeddis@24: restorePath=path; rmeddis@24: addpath (['..' filesep 'MAP'], ['..' filesep 'wavFileStore'], ... rmeddis@24: ['..' filesep 'utilities']) rmeddis@0: rmeddis@0: %% #1 parameter file name rmeddis@0: MAPparamsName='Normal'; rmeddis@0: rmeddis@0: rmeddis@0: %% #2 probability (fast) or spikes (slow) representation rmeddis@26: % AN_spikesOrProbability='spikes'; rmeddis@23: rmeddis@0: % or rmeddis@23: % NB probabilities are not corrected for refractory effects rmeddis@26: AN_spikesOrProbability='probability'; rmeddis@0: rmeddis@0: rmeddis@0: %% #3 pure tone, harmonic sequence or speech file input rmeddis@0: signalType= 'tones'; rmeddis@26: sampleRate= 50000; rmeddis@26: duration=0.250; % seconds rmeddis@0: % toneFrequency= 250:250:8000; % harmonic sequence (Hz) rmeddis@25: toneFrequency= 1000; % or a pure tone (Hz8 rmeddis@0: rampDuration=.005; % seconds rmeddis@0: rmeddis@0: % or rmeddis@26: rmeddis@23: % signalType= 'file'; rmeddis@23: % fileName='twister_44kHz'; rmeddis@0: rmeddis@0: rmeddis@0: %% #4 rms level rmeddis@0: % signal details rmeddis@27: leveldBSPL= 90; % dB SPL rmeddis@0: rmeddis@0: rmeddis@0: %% #5 number of channels in the model rmeddis@0: % 21-channel model (log spacing) rmeddis@0: numChannels=21; rmeddis@19: lowestBF=250; highestBF= 8000; rmeddis@0: BFlist=round(logspace(log10(lowestBF), log10(highestBF), numChannels)); rmeddis@0: rmeddis@0: % or specify your own channel BFs rmeddis@25: % numChannels=1; rmeddis@19: % BFlist=toneFrequency; rmeddis@0: rmeddis@0: rmeddis@0: %% #6 change model parameters rmeddis@0: paramChanges=[]; rmeddis@0: rmeddis@0: % or rmeddis@0: % Parameter changes can be used to change one or more model parameters rmeddis@0: % *after* the MAPparams file has been read rmeddis@0: % This example declares only one fiber type with a calcium clearance time rmeddis@0: % constant of 80e-6 s (HSR fiber) when the probability option is selected. rmeddis@25: rmeddis@16: % paramChanges={'AN_IHCsynapseParams.ANspeedUpFactor=5;', ... rmeddis@16: % 'IHCpreSynapseParams.tauCa=86e-6;'}; rmeddis@25: rmeddis@27: % paramChanges={'DRNLParams.rateToAttenuationFactorProb = 0;'}; rmeddis@0: rmeddis@25: % paramChanges={'IHCpreSynapseParams.tauCa=86e-6;', rmeddis@26: % 'AN_IHCsynapseParams.numFibers= 1000;'}; rmeddis@25: rmeddis@27: % fixed MOC attenuation(using negative factor) rmeddis@27: paramChanges={'DRNLParams.rateToAttenuationFactorProb=-0.005;'}; rmeddis@23: rmeddis@23: %% delare 'showMap' options to control graphical output rmeddis@0: rmeddis@23: showMapOptions.printModelParameters=1; % prints all parameters rmeddis@23: showMapOptions.showModelOutput=1; % plot of all stages rmeddis@23: showMapOptions.printFiringRates=1; % prints stage activity levels rmeddis@23: showMapOptions.showACF=0; % shows SACF (probability only) rmeddis@23: showMapOptions.showEfferent=1; % tracks of AR and MOC rmeddis@23: showMapOptions.surfProbability=1; % 2D plot of HSR response rmeddis@25: showMapOptions.surfSpikes=1; % 2D plot of spikes histogram rmeddis@25: rmeddis@25: % disable certain silly options rmeddis@23: if strcmp(AN_spikesOrProbability, 'spikes') rmeddis@23: % avoid nonsensical options rmeddis@23: showMapOptions.surfProbability=0; rmeddis@23: showMapOptions.showACF=0; rmeddis@25: else rmeddis@25: showMapOptions.surfSpikes=0; rmeddis@16: end rmeddis@16: if strcmp(signalType, 'file') rmeddis@23: % needed for labeling plot rmeddis@16: showMapOptions.fileName=fileName; rmeddis@23: else rmeddis@23: showMapOptions.fileName=[]; rmeddis@16: end rmeddis@0: rmeddis@0: %% Generate stimuli rmeddis@0: rmeddis@0: switch signalType rmeddis@0: case 'tones' rmeddis@0: inputSignal=createMultiTone(sampleRate, toneFrequency, ... rmeddis@0: leveldBSPL, duration, rampDuration); rmeddis@23: rmeddis@0: case 'file' rmeddis@16: %% file input simple or mixed rmeddis@19: [inputSignal sampleRate]=wavread(fileName); rmeddis@23: dt=1/sampleRate; rmeddis@16: inputSignal=inputSignal(:,1); rmeddis@0: targetRMS=20e-6*10^(leveldBSPL/20); rmeddis@0: rms=(mean(inputSignal.^2))^0.5; rmeddis@0: amp=targetRMS/rms; rmeddis@0: inputSignal=inputSignal*amp; rmeddis@19: silence= zeros(1,round(0.1/dt)); rmeddis@19: inputSignal= [silence inputSignal' silence]; rmeddis@0: end rmeddis@0: rmeddis@0: rmeddis@0: %% run the model rmeddis@0: tic rmeddis@0: rmeddis@9: fprintf('\n') rmeddis@9: disp(['Signal duration= ' num2str(length(inputSignal)/sampleRate)]) rmeddis@9: disp([num2str(numChannels) ' channel model']) rmeddis@9: disp('Computing ...') rmeddis@15: rmeddis@0: MAP1_14(inputSignal, sampleRate, BFlist, ... rmeddis@0: MAPparamsName, AN_spikesOrProbability, paramChanges); rmeddis@26: rmeddis@0: rmeddis@0: % the model run is now complete. Now display the results rmeddis@26: UTIL_showMAP(showMapOptions, paramChanges) rmeddis@0: rmeddis@9: toc rmeddis@0: path(restorePath) rmeddis@0: rmeddis@0: rmeddis@0: function inputSignal=createMultiTone(sampleRate, toneFrequency, ... rmeddis@0: leveldBSPL, duration, rampDuration) rmeddis@0: % Create pure tone stimulus rmeddis@0: dt=1/sampleRate; % seconds rmeddis@0: time=dt: dt: duration; rmeddis@0: inputSignal=sum(sin(2*pi*toneFrequency'*time), 1); rmeddis@0: amp=10^(leveldBSPL/20)*28e-6; % converts to Pascals (peak) rmeddis@0: inputSignal=amp*inputSignal; rmeddis@0: rmeddis@0: % apply ramps rmeddis@0: % catch rampTime error rmeddis@0: if rampDuration>0.5*duration, rampDuration=duration/2; end rmeddis@0: rampTime=dt:dt:rampDuration; rmeddis@0: ramp=[0.5*(1+cos(2*pi*rampTime/(2*rampDuration)+pi)) ... rmeddis@0: ones(1,length(time)-length(rampTime))]; rmeddis@0: inputSignal=inputSignal.*ramp; rmeddis@0: ramp=fliplr(ramp); rmeddis@0: inputSignal=inputSignal.*ramp; rmeddis@0: rmeddis@0: % add 10 ms silence rmeddis@25: silence= zeros(1,round(0.05/dt)); rmeddis@15: inputSignal= [silence inputSignal silence]; rmeddis@0: