MAP

function runMAP1_14

% runMAP1_14 is a general purpose test routine that can be adjusted to

% explore different applications of MAP1_14

%

% It is also designed as 'starter' code for building new applications.

%

% A range of options are supplied in the early part of the program

%

% #1

% Identify the file (in 'MAPparamsName') containing the model parameters

%

% #2

% Identify the kind of model required (in 'AN_spikesOrProbability').

%  A full brainstem model ('spikes') can be computed or a shorter model

%  ('probability') that computes only so far as the auditory nerve

%

% #3

% Choose between a tone signal or file input (in 'signalType')

%

% #4

% Set the signal rms level (in leveldBSPL)

%

% #5

% Identify the channels in terms of their best frequencies in the vector

%  BFlist.

%

% #6

% Last minute changes to the model parameters can be made using

%  a cell array of strings, 'paramChanges'.

dbstop if error

restorePath=path;

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

    ['..' filesep 'utilities'])

%%  #1 parameter file name

MAPparamsName='Normal';

%% #2 probability (fast) or spikes (slow) representation: select one

% AN_spikesOrProbability='spikes';

%   or

AN_spikesOrProbability='probability';

%% #3 A. pure tone, B. harmonic sequence or C. speech file input

% comment out unwanted code

% A. tone

sampleRate= 95000;

signalType= 'tones';

toneFrequency= 1000;            % or a pure tone (Hz)

duration=0.500;                 % seconds

beginSilence=0.010;

endSilence=0.020;

rampDuration=.005;              % raised cosine ramp (seconds)

%   or

% B. harmonic tone (Hz) - useful to demonstrate a broadband sound

% sampleRate= 44100;

% signalType= 'tones';

% toneFrequency= F0:F0:8000;

% duration=0.500;                 % seconds

% beginSilence=0.250;

% endSilence=0.250;

% F0=210;

% rampDuration=.005;              % raised cosine ramp (seconds)

%   or

% C. signalType= 'file';

% fileName='twister_44kHz';

%% #4 rms level

% signal details

leveldBSPL= 80;                  % dB SPL (80 for Lieberman)

%% #5 number of channels in the model

%   21-channel model (log spacing)

numChannels=21;

lowestBF=100; 	highestBF= 6000;

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

%   or specify your own channel BFs

% numChannels=1;

% BFlist=toneFrequency;

%% #6 change model parameters

paramChanges={};    % no changes

% Parameter changes can be used to change one or more model parameters

%  *after* the MAPparams file has been read

%  Each string must have the same format as the corresponding line in the

%   file identified in 'MAPparamsName'

% This example declares only one fiber type with a calcium clearance time

% constant of 80e-6 s (HSR fiber) when the probability option is selected.

%   paramChanges={'AN_IHCsynapseParams.ANspeedUpFactor=5;', ...

%     'IHCpreSynapseParams.tauCa=86e-6; '};

paramChanges={ 'IHCpreSynapseParams.tauCa=86e-6; ',...

    'DRNLParams.rateToAttenuationFactorProb = 0;'};

%% delare 'showMap' options to control graphical output

% see UTIL_showMAP for more options

showMapOptions.printModelParameters=1;   % prints all parameters

showMapOptions.showModelOutput=0;       % plot of all stages

showMapOptions.printFiringRates=1;      % prints stage activity levels

showMapOptions.showEfferent=0;          % tracks of AR and MOC

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

if strcmp(signalType, 'file')

    % needed for labeling plot

    showMapOptions.fileName=fileName;

else

    showMapOptions.fileName=[];

end

%% Generate stimuli

switch signalType

    case 'tones'

        % 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 silence

        intialSilence= zeros(1,round(beginSilence/dt));

        finalSilence= zeros(1,round(endSilence/dt));

        inputSignal= [intialSilence inputSignal finalSilence];

    case 'file'

        %% file input simple or mixed

        [inputSignal sampleRate]=wavread(fileName);

        dt=1/sampleRate;

        inputSignal=inputSignal(:,1);

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

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

        amp=targetRMS/rms;

        inputSignal=inputSignal*amp;

        intialSilence= zeros(1,round(0.1/dt));

        finalSilence= zeros(1,round(0.2/dt));

        inputSignal= [intialSilence inputSignal' finalSilence];

end

%% run the model

tic

fprintf('\n')

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

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

disp('Computing ...')

MAP1_14(inputSignal, sampleRate, BFlist, ...

    MAPparamsName, AN_spikesOrProbability, paramChanges);

%% the model run is now complete. Now display the results

UTIL_showMAP(showMapOptions)

if strcmp(signalType,'tones')

    disp(['duration=' num2str(duration)])

    disp(['level=' num2str(leveldBSPL)])

    disp(['toneFrequency=' num2str(toneFrequency)])

    global DRNLParams

    disp(['attenuation factor =' ...

        num2str(DRNLParams.rateToAttenuationFactor, '%5.3f') ])

    disp(['attenuation factor (probability)=' ...

        num2str(DRNLParams.rateToAttenuationFactorProb, '%5.3f') ])

    disp(AN_spikesOrProbability)

end

disp('paramChanges')

for i=1:length(paramChanges)

    disp(paramChanges{i})

end

toc

path(restorePath)