genHomogeneousPoisson.m

function spikeTrains = genHomogeneousPoisson(N, M, param)
% Generate homogeneous Poisson process for testing
% spikeTrains = genHomogeneousPoisson(N, M, param)
%
% Input
%   N: trials per spikeTrains
%   M: number of sets of trials
%   param.lambda: mean number of total action potentials
%	(irrespective of duration)
%   param.tOffset: offset at the beginning
%   param.duration: duration of spiking
%
% $Id$
% Copyright 2009 Memming. All rights reserved.

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lambda = param.lambda;
tOffset = param.tOffset;
duration = param.duration;

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

for kM = 1:M
    spikeTrains(kM) = spikeTrainsTemplate;

    for k = 1:N
	spikeTrains(kM).data{k} = ...
	    tOffset + sort(rand(poissrnd(lambda), 1)) * duration;
    end
end

% vim:ts=8:sts=4:sw=4