MAP

function demoTwisterProbability

% MAPdemo runs the MATLAB auditory periphery model (MAP1_14) as far as

%  the AN (probabilities) or IC (spikes) with graphical output

dbstop if error

restorePath=path;

addpath (['..' filesep 'MAP'],    ['..' filesep 'wavFileStore'], ...

    ['..' filesep 'utilities'])

%%  #1 parameter file name

MAPparamsName='Normal';

%% #2 probability (fast) 

AN_spikesOrProbability='probability';

%% #3  speech file input

signalType= 'file';

fileName='twister_44kHz';

%% #4 rms level

leveldBSPL=60;        % dB SPL

%% #5 number of channels in the model

%   21-channel model (log spacing)

numChannels=21;

lowestBF=250; 	highestBF= 8000;

BFlist=round(logspace(log10(lowestBF), log10(highestBF), numChannels));

%% #6 no change to model parameters

paramChanges=[];

%% Generate stimuli

switch signalType

    case 'tones'

        inputSignal=createMultiTone(sampleRate, toneFrequency, ...

            leveldBSPL, duration, rampDuration);

    case 'file'

        [inputSignal sampleRate]=wavread(fileName);

        inputSignal(:,1);

        targetRMS=20e-6*10^(leveldBSPL/20);

        rms=(mean(inputSignal.^2))^0.5;

        amp=targetRMS/rms;

        inputSignal=inputSignal*amp;

end

%% run the model

tic

fprintf('\n')

disp(['Signal duration= ' num2str(length(inputSignal)/sampleRate)])

disp([num2str(numChannels) ' channel model'])

disp('Computing ...')

MAP1_14(inputSignal, sampleRate, BFlist, ...

    MAPparamsName, AN_spikesOrProbability, paramChanges);

%% the model run is finished. Now display the results

%% delare showMap options

showMapOptions.printModelParameters=1;

showMapOptions.showModelOutput=1;

showMapOptions.printFiringRates=1;

showMapOptions.showACF=0;

showMapOptions.showEfferent=0;

showMapOptions.surfProbability=1;       % 2D plot of HSR response 

UTIL_showMAP(showMapOptions, paramChanges)

toc

path(restorePath)

function inputSignal=createMultiTone(sampleRate, toneFrequency, ...

    leveldBSPL, duration, rampDuration)

% Create pure tone stimulus

dt=1/sampleRate; % seconds

time=dt: dt: duration;

inputSignal=sum(sin(2*pi*toneFrequency'*time), 1);

amp=10^(leveldBSPL/20)*28e-6;   % converts to Pascals (peak)

inputSignal=amp*inputSignal;

% apply ramps

% catch rampTime error

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

rampTime=dt:dt:rampDuration;

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

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

inputSignal=inputSignal.*ramp;

ramp=fliplr(ramp);

inputSignal=inputSignal.*ramp;

% add 10 ms silence

silence= zeros(1,round(0.03/dt));

% inputSignal= [silence inputSignal silence];