experiment2.m

% Hypothesis test example experiment
% - generate two homogeneous Poisson processes
%   One with mean rate 3/trial and the other with 5/trial
%
% $Id$
% Copyright 2009 iocane project. All rights reserved.

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rand('seed', 20090523);
randn('seed', 20090523);

N = 40; % Number of realizations
M = 46; % Number of point processes per class
%M = 10; % Number of point processes per class

lambda1 = 3;
lambda2 = 5;
tOffset = 0.2;
duration = 0.05;

spikeTrains.N = N;
spikeTrains.duration = 2 * tOffset + duration;
spikeTrains.source = '$Id$';
spikeTrains.data = cell(N, 1);
spikeTrains.samplingRate = Inf;

for kM = 1:M
    spikeTrains1(kM) = spikeTrains;
    spikeTrains2(kM) = spikeTrains;

    for k = 1:N
	spikeTrains1(kM).data{k} = ...
	    tOffset + sort(rand(poissrnd(lambda1), 1)) * duration;
	spikeTrains2(kM).data{k} = ...
	    tOffset + sort(rand(poissrnd(lambda2), 1)) * duration;
    end
end

% divMeasures = { @divCDF, Inf };
divMeasures = { ...
    %@divH, []; ...
    @divRatioChiSquare, divSPDParams_I('int_exp'); ...
    @divRatioChiSquare, divSPDParams_I('exp_int'); ...
    %@divL2CuIF, []; ...
    %@divSPD, [] ; ...
    %@divPhi, divPhiParams('Hellinger', 'default', 10e-3); ...
    %@divPhi, divPhiParams('Hellinger', 'silverman', 10e-3); ...
    %@divPhi, divPhiParams('Hellinger', 'modsilverman', 10e-3);
    %@divSPD, divSPDParams_I('int_exp'); ...
    %@divSPD, divSPDParams_I('exp_int'); ...
    %@divCount, divCountParams('CM'); ...
    %@divCDF, Inf ; ...
    %@divICDF, [] ; ...
    %@divCount, divCountParams('KS') ; ...
};
% divMeasures = {...
%     @divCount, divCountParams('KS'); ...
% };
[p, power, dist, d12] = evaluateExperiment(spikeTrains1, spikeTrains2, M, 0.05, true, divMeasures);

%[p, power, dist, d12] = evaluateExperiment(spikeTrains1, spikeTrains2, M);
% vim:ts=8:sts=4:sw=4