% main program
% extraction of conductances with only V
% by oversampling's method
%% ....... Initialize
clc % remove screen
clear % remove workspace
% initialize the interface graphic
plottools('on')
propertyeditor('on')
plotbrowser('on')
%% ....... structures
GGG = {}; % graphics
TTT = {}; % f data and results
PPP = {}; % parameters of cell and parameters of algorithm
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% ALGORITHME of VOLTAGE in OVERSAMPLING
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%% ....... enter of data
%parameter of cell
para = load('data/exemple4/Parametres.dat');
% Note : The units of data is in SI
tt = load('data/exemple4/tt.dat');% time
gge = load('data/exemple4/gge.dat');% synapses excitators
ggi = load('data/exemple4/ggi.dat');% synapses inhibitors
%
PPP.gl = para(1);%; %conductance leak [S]
PPP.Ee = para(2) ; PPP.Ei= para(3); PPP.El= para(4); % potential inverse [V]
PPP.cap=para(5); % capacity of soma [F]
limita = para(6); limitb =para(7); %threshold singularities (see line 101)
PPP.Initial = para(8); % Voltage at time = 0;
%% ....... calcul voltage in oversampling
oversampling = 4 ; % oversampling
[GGG] = signalR(oversampling,gge,ggi,tt,PPP); %voltage im oversampling
TTT = GGG; % transfert in structure TTT
% comparison voltage normal in voltage in oversampling
GGG.g =1;
graphR(GGG)
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% ALGORITHME of EXTRACTION
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%% ....... organization vector voltage and time and extractions
% This limits of dimension of vectors is necessary. This depend of the order approximation
% Here is 2
Npoints= 2 ; % quantity of points
dim = length(GGG.tta);
for n=1: dim-Npoints
vva(n,1) = GGG.vva(n); %base vv
tta(n,1) = GGG.tta(n);
end
TTT.tta = tta(:,1); % time
TTT.vva = vva(:,1); % Vm
% extractions of conductances and preconductances
[GGG TTT ] = algorithmeR(TTT,PPP,Npoints,limita, limitb); % voir ligne 55 et 56
%% ....... graphics
%extraction of preconductances
GGG.g = 2;
graphR(GGG);
% extraction of conductances
GGG.g=3; % extraction of conductances
graphR(GGG)
% singularities and preconductances
GGG.g=4;
graphR(GGG)