wilson_n2.m

用matlab实现模拟神经元模型

 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
 %  Integration of Wilson model with the Euler method
 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
 clear; clf;

 % parameters of the model; 1=K,R  2=Ca,T  3=KCa,H  4=Na
 %time step
 dt=0.01; 
 %maximal conductance,mS/cm2
 g(1)=26; g(2)=0.1; g(3)=5; g(4)=1; 
 %baterry voltage,100mV
 E(1)=-.95; E(2)=1.20; E(3)=E(1); E(4)=.50;
 %time constance,ms
 tau(1)=dt./4.2; tau(2)=dt./14; tau(3)=dt./45; tau(4)=1; 
 % initialization of other parameters
 I_ext=0; V=-1; x=zeros(1,4); t_rec=0;
 %Integration
 for t=-100:dt:200
     if t==10; I_ext=1; end  % turns external current on at t=10
     % X0(V)
     x0(1)=1.24  +  3.7*V + 3.2*V^2;    %R0(V)
     x0(2)=4.205 + 11.6*V + 8  *V^2;    %T0(V)
     x0(3)=3*x(2);                      %H0(V)=3*T0(V)
     x0(4)=17.8  + 47.6*V +33.8*V^2;    %gNa(V)
     %X
     x=x-tau.*(x-x0); %rem x(4)=x0(4) because tau(4)=1
     I=g.*x.*(V-E);
     V=V+dt*(I_ext-sum(I));
     % record
     if t>=0;
         t_rec=t_rec+1;
         x_plot(t_rec)=t;
         y_plot(t_rec)=V;
         
     end
 end % time loop

 plot(x_plot,100*y_plot)