rmeddis@9: function demoTwisterProbability
rmeddis@9: 
rmeddis@9: % MAPdemo runs the MATLAB auditory periphery model (MAP1_14) as far as
rmeddis@9: %  the AN (probabilities) or IC (spikes) with graphical output
rmeddis@9: 
rmeddis@9: % Things you might want to change; #1 - #5
rmeddis@9: 
rmeddis@9: %%  #1 parameter file name
rmeddis@9: MAPparamsName='Normal';
rmeddis@9: 
rmeddis@9: 
rmeddis@9: %% #2 probability (fast) or spikes (slow) representation
rmeddis@9: % AN_spikesOrProbability='spikes';
rmeddis@9: % or
rmeddis@9: AN_spikesOrProbability='probability';
rmeddis@9: 
rmeddis@9: 
rmeddis@9: %% #3 pure tone, harmonic sequence or speech file input
rmeddis@9: signalType= 'tones';
rmeddis@9: duration=0.100;                 % seconds
rmeddis@9: duration=0.020;                 % seconds
rmeddis@9: sampleRate= 64000;
rmeddis@9: % toneFrequency= 250:250:8000;    % harmonic sequence (Hz)
rmeddis@9: toneFrequency= 2000;            % or a pure tone (Hz8
rmeddis@9: 
rmeddis@9: rampDuration=.005;              % seconds
rmeddis@9: 
rmeddis@9: % or
rmeddis@9: signalType= 'file';
rmeddis@9: fileName='twister_44kHz';
rmeddis@9: % fileName='new-da-44khz';
rmeddis@9: 
rmeddis@9: 
rmeddis@9: %% #4 rms level
rmeddis@9: % signal details
rmeddis@9: leveldBSPL=70;                  % dB SPL
rmeddis@9: 
rmeddis@9: 
rmeddis@9: %% #5 number of channels in the model
rmeddis@9: %   21-channel model (log spacing)
rmeddis@9: numChannels=21;
rmeddis@9: lowestBF=250; 	highestBF= 8000; 
rmeddis@9: BFlist=round(logspace(log10(lowestBF), log10(highestBF), numChannels));
rmeddis@9: 
rmeddis@9: %   or specify your own channel BFs
rmeddis@9: % BFlist=toneFrequency;
rmeddis@9: 
rmeddis@9: 
rmeddis@9: %% #6 change model parameters
rmeddis@9: paramChanges=[];
rmeddis@9: 
rmeddis@9: % or
rmeddis@9: % Parameter changes can be used to change one or more model parameters
rmeddis@9: %  *after* the MAPparams file has been read
rmeddis@9: % This example declares only one fiber type with a calcium clearance time
rmeddis@9: % constant of 80e-6 s (HSR fiber) when the probability option is selected.
rmeddis@9: % switch AN_spikesOrProbability
rmeddis@9: %     case 'probability'
rmeddis@9: %         paramChanges={'IHCpreSynapseParams.tauCa=80e-6;'};
rmeddis@9: %     otherwise
rmeddis@9: %         paramChanges=[];
rmeddis@9: % end
rmeddis@9: 
rmeddis@9: %% delare showMap options
rmeddis@9: showMapOptions=[];  % use defaults
rmeddis@9: 
rmeddis@9: % or (example: show everything including an smoothed SACF output
rmeddis@9:     showMapOptions.showModelParameters=1;
rmeddis@9:     showMapOptions.showModelOutput=1;
rmeddis@9:     showMapOptions.printFiringRates=1;
rmeddis@9:     showMapOptions.showACF=0;
rmeddis@9:     showMapOptions.showEfferent=1;
rmeddis@9: 
rmeddis@9: %% Generate stimuli
rmeddis@9: 
rmeddis@9: dbstop if error
rmeddis@9: restorePath=path;
rmeddis@9: addpath (['..' filesep 'MAP'],    ['..' filesep 'wavFileStore'])
rmeddis@9: switch signalType
rmeddis@9:     case 'tones'
rmeddis@9:         inputSignal=createMultiTone(sampleRate, toneFrequency, ...
rmeddis@9:             leveldBSPL, duration, rampDuration);
rmeddis@9:         
rmeddis@9:     case 'file'
rmeddis@9:         [inputSignal sampleRate]=wavread(fileName);       
rmeddis@9:         inputSignal(:,1);
rmeddis@9:         targetRMS=20e-6*10^(leveldBSPL/20);
rmeddis@9:         rms=(mean(inputSignal.^2))^0.5;
rmeddis@9:         amp=targetRMS/rms;
rmeddis@9:         inputSignal=inputSignal*amp;
rmeddis@9: end
rmeddis@9: 
rmeddis@9: 
rmeddis@9: %% run the model
rmeddis@9: tic
rmeddis@9: 
rmeddis@9: MAP1_14(inputSignal, sampleRate, BFlist, ...
rmeddis@9:     MAPparamsName, AN_spikesOrProbability, paramChanges);
rmeddis@9: toc
rmeddis@9: 
rmeddis@9: % the model run is now complete. Now display the results
rmeddis@9: showMAP(showMapOptions)
rmeddis@9: 
rmeddis@9: toc
rmeddis@9: path(restorePath)
rmeddis@9: 
rmeddis@9: 
rmeddis@9: function inputSignal=createMultiTone(sampleRate, toneFrequency, ...
rmeddis@9:     leveldBSPL, duration, rampDuration)
rmeddis@9: % Create pure tone stimulus
rmeddis@9: dt=1/sampleRate; % seconds
rmeddis@9: time=dt: dt: duration;
rmeddis@9: inputSignal=sum(sin(2*pi*toneFrequency'*time), 1);
rmeddis@9: amp=10^(leveldBSPL/20)*28e-6;   % converts to Pascals (peak)
rmeddis@9: inputSignal=amp*inputSignal;
rmeddis@9: 
rmeddis@9: % apply ramps
rmeddis@9: % catch rampTime error
rmeddis@9: if rampDuration>0.5*duration, rampDuration=duration/2; end
rmeddis@9: rampTime=dt:dt:rampDuration;
rmeddis@9: ramp=[0.5*(1+cos(2*pi*rampTime/(2*rampDuration)+pi)) ...
rmeddis@9:     ones(1,length(time)-length(rampTime))];
rmeddis@9: inputSignal=inputSignal.*ramp;
rmeddis@9: ramp=fliplr(ramp);
rmeddis@9: inputSignal=inputSignal.*ramp;
rmeddis@9: 
rmeddis@9: % add 10 ms silence
rmeddis@9: silence= zeros(1,round(0.03/dt));
rmeddis@9: % inputSignal= [silence inputSignal silence];
rmeddis@9: