% Simulazione dell'intera rete; funzioni: ricostruzione pattern incompleti, % recall di sequenze. %% parametri dt=0.0001; %0.1 millisecondi t=(0:dt:t_sim); T=length(t); % rng(11) sigma_p = sqrt(5/dt); np = randn(numero_colonne,T)*sigma_p; sigma_f = sqrt(5/dt); nf = randn(numero_colonne,T)*sigma_f; % Parametri sigmoide e0=2.5; %Hz r=0.7; %1/mV s0=10; %centro della sigmoide % ritardi nella comunicazione tra colonne diverse D_intraLayer=round(dt/dt); % costanti di tempo sinapsi intra-colonna a=[1/7.7 1/34 1/6.8]*1000; %nell'ordine: ae, as, af; a=1/tau (1/secondi) % Guadagni (mV) delle sinapsi (G) G=[5.17 4.45 57.1]; %Ge = 5.17; (per h_e) %Gs = 4.45; (per h_s) %Gf = 57.1; (per h_f) %pesi sinaptici: C(:,1) = 31.7*ones(1,numero_colonne); %Cep C(:,2) = 17.3*ones(1,numero_colonne); %Cpe C(:,3) = 51.9*ones(1,numero_colonne); %Csp C(:,4) = 100*ones(1,numero_colonne); %Cps C(:,5) = 100*ones(1,numero_colonne); %Cfs C(:,6) = 66.9*ones(1,numero_colonne); %Cfp C(:,7) = 16*ones(1,numero_colonne); %Cpf C(:,8) = 18*ones(1,numero_colonne); %Cff %% yp1=zeros(numero_colonne,T); xp1=zeros(numero_colonne,T); vp1=zeros(numero_colonne,1); zp1=zeros(numero_colonne,T); ye1=zeros(numero_colonne,T); xe1=zeros(numero_colonne,T); ve1=zeros(numero_colonne,1); ze1=zeros(numero_colonne,T); ys1=zeros(numero_colonne,T); xs1=zeros(numero_colonne,T); vs1=zeros(numero_colonne,1); zs1=zeros(numero_colonne,T); yf1=zeros(numero_colonne,T); xf1=zeros(numero_colonne,T); zf1=zeros(numero_colonne,T); vf1=zeros(numero_colonne,1); xl1=zeros(numero_colonne,T); yl1=zeros(numero_colonne,T); Ep=zeros(numero_colonne,1); mf1=zeros(numero_colonne,1); %media input gabaFast IN1=zeros(numero_colonne,T); for k=1:T-1 %ciclo nel tempo... %completo ingressi a piramidali e gaba fast: if size(mediaIN,2)==1 mp1=mediaIN+noise; else mp1=mediaIN(:,k)+noise(:,k); %se ho dato un ingresso variabile nel tempo end up1=np(:,k)+mp1; IN1(:,k)=up1; uf1=nf(:,k)+mf1; if(k>D_intraLayer) Ep=Wp_L1L1*yp1(:,k-D_intraLayer); end %potenziali post-sinaptici: (comb lin degli outputs standard) vp1(:)=C(:,2).*ye1(:,k)-C(:,4).*ys1(:,k)-C(:,7).*yf1(:,k)+Ep; ve1(:)=C(:,1).*yp1(:,k); vs1(:)=C(:,3).*yp1(:,k); vf1(:)=C(:,6).*yp1(:,k)-C(:,5).*ys1(:,k)-C(:,8).*yf1(:,k)+yl1(:,k); %spikes: zp1(:,k)=2*e0./(1+exp(-r*(vp1(:)-s0))); ze1(:,k)=2*e0./(1+exp(-r*(ve1(:)-s0))); zs1(:,k)=2*e0./(1+exp(-r*(vs1(:)-s0))); zf1(:,k)=2*e0./(1+exp(-r*(vf1(:)-s0))); %nuovi outputs "standard" (non pesati) popolazioni: xp1(:,k+1)=xp1(:,k)+(G(1)*a(1)*zp1(:,k)-2*a(1)*xp1(:,k)-a(1)*a(1)*yp1(:,k))*dt; yp1(:,k+1)=yp1(:,k)+xp1(:,k)*dt; xe1(:,k+1)=xe1(:,k)+(G(1)*a(1)*(ze1(:,k)+up1(:)./C(:,2))-2*a(1)*xe1(:,k)-a(1)*a(1)*ye1(:,k))*dt; ye1(:,k+1)=ye1(:,k)+xe1(:,k)*dt; xs1(:,k+1)=xs1(:,k)+(G(2)*a(2)*zs1(:,k)-2*a(2)*xs1(:,k)-a(2)*a(2)*ys1(:,k))*dt; ys1(:,k+1)=ys1(:,k)+xs1(:,k)*dt; xl1(:,k+1)=xl1(:,k)+(G(1)*a(1)*uf1(:)-2*a(1)*xl1(:,k)-a(1)*a(1)*yl1(:,k))*dt; yl1(:,k+1)=yl1(:,k)+xl1(:,k)*dt; xf1(:,k+1)=xf1(:,k)+(G(3)*a(3)*zf1(:,k)-2*a(3)*xf1(:,k)-a(3)*a(3)*yf1(:,k))*dt; yf1(:,k+1)=yf1(:,k)+xf1(:,k)*dt; end %% sim L2 L3 %var stato L2 yp2=zeros(numero_colonne,T); xp2=zeros(numero_colonne,T); vp2=zeros(numero_colonne,1); zp2=zeros(numero_colonne,T); ye2=zeros(numero_colonne,T); xe2=zeros(numero_colonne,T); ve2=zeros(numero_colonne,1); ze2=zeros(numero_colonne,T); ys2=zeros(numero_colonne,T); xs2=zeros(numero_colonne,T); vs2=zeros(numero_colonne,1); zs2=zeros(numero_colonne,T); yf2=zeros(numero_colonne,T); xf2=zeros(numero_colonne,T); zf2=zeros(numero_colonne,T); vf2=zeros(numero_colonne,1); xl2=zeros(numero_colonne,T); yl2=zeros(numero_colonne,T); mf2=zeros(numero_colonne,1); mp2=zeros(numero_colonne,1); %var stato L3 yp3=zeros(numero_colonne,T); xp3=zeros(numero_colonne,T); vp3=zeros(numero_colonne,1); zp3=zeros(numero_colonne,T); ye3=zeros(numero_colonne,T); xe3=zeros(numero_colonne,T); ve3=zeros(numero_colonne,1); ze3=zeros(numero_colonne,T); ys3=zeros(numero_colonne,T); xs3=zeros(numero_colonne,T); vs3=zeros(numero_colonne,1); zs3=zeros(numero_colonne,T); yf3=zeros(numero_colonne,T); xf3=zeros(numero_colonne,T); zf3=zeros(numero_colonne,T); vf3=zeros(numero_colonne,1); xl3=zeros(numero_colonne,T); yl3=zeros(numero_colonne,T); mf3=zeros(numero_colonne,1); mp3=zeros(numero_colonne,1); Ep2=zeros(numero_colonne,1); If2=zeros(numero_colonne,1); Ep3=zeros(numero_colonne,1); If3=zeros(numero_colonne,1); sigma_p = sqrt(5/dt); sigma_f = sqrt(5/dt); % rng(12) np2 = randn(numero_colonne,T)*sigma_p; nf2 = randn(numero_colonne,T)*sigma_f; % rng(13) np3 = randn(numero_colonne,T)*sigma_p; nf3 = randn(numero_colonne,T)*sigma_f; for k=1:T-1 %ciclo nel tempo... %completo ingressi a piramidali e gaba fast up2=np2(:,k)+mp2; uf2=nf2(:,k)+mf2; up3=np3(:,k)+mp3; uf3=nf3(:,k)+mf3; if k>D_intraLayer Ep2=Wp_L2L1*yp1(:,k-D_intraLayer)+Wp_L2L3*yp3(:,k-D_intraLayer); Ep3=Wp_L3L2*yp2(:,k-D_intraLayer); Inib=100-sum(zp1(:,k-D_intraLayer)); Inibitore=(abs(Inib) + Inib)/2; % se l'attivitā zp1 č bassa (THETA OFF) L2 č inibito If2=K_L2L2*yp2(:,k-D_intraLayer)+A_L2L2*zp2(:,k-D_intraLayer)+1000*Inibitore; If3=K_L3L3*yp3(:,k-D_intraLayer)+A_L3L3*zp3(:,k-D_intraLayer); end %potenziali post-sinaptici: (comb lin degli outputs standard) vp2(:)=C(:,2).*ye2(:,k)-C(:,4).*ys2(:,k)-C(:,7).*yf2(:,k)+Ep2; ve2(:)=C(:,1).*yp2(:,k); vs2(:)=C(:,3).*yp2(:,k); vf2(:)=C(:,6).*yp2(:,k)-C(:,5).*ys2(:,k)-C(:,8).*yf2(:,k)+yl2(:,k)+If2; %spikes: zp2(:,k)=2*e0./(1+exp(-r*(vp2(:)-s0))); ze2(:,k)=2*e0./(1+exp(-r*(ve2(:)-s0))); zs2(:,k)=2*e0./(1+exp(-r*(vs2(:)-s0))); zf2(:,k)=2*e0./(1+exp(-r*(vf2(:)-s0))); %potenziali post-sinaptici: (comb lin degli outputs standard) vp3(:)=C(:,2).*ye3(:,k)-C(:,4).*ys3(:,k)-C(:,7).*yf3(:,k)+Ep3; ve3(:)=C(:,1).*yp3(:,k); vs3(:)=C(:,3).*yp3(:,k); vf3(:)=C(:,6).*yp3(:,k)-C(:,5).*ys3(:,k)-C(:,8).*yf3(:,k)+yl3(:,k)+If3; %spikes: zp3(:,k)=2*e0./(1+exp(-r*(vp3(:)-s0))); ze3(:,k)=2*e0./(1+exp(-r*(ve3(:)-s0))); zs3(:,k)=2*e0./(1+exp(-r*(vs3(:)-s0))); zf3(:,k)=2*e0./(1+exp(-r*(vf3(:)-s0))); xp2(:,k+1)=xp2(:,k)+(G(1)*a(1)*zp2(:,k)-2*a(1)*xp2(:,k)-a(1)*a(1)*yp2(:,k))*dt; yp2(:,k+1)=yp2(:,k)+xp2(:,k)*dt; xe2(:,k+1)=xe2(:,k)+(G(1)*a(1)*(ze2(:,k)+up2(:)./C(:,2))-2*a(1)*xe2(:,k)-a(1)*a(1)*ye2(:,k))*dt; ye2(:,k+1)=ye2(:,k)+xe2(:,k)*dt; xs2(:,k+1)=xs2(:,k)+(G(2)*a(2)*zs2(:,k)-2*a(2)*xs2(:,k)-a(2)*a(2)*ys2(:,k))*dt; ys2(:,k+1)=ys2(:,k)+xs2(:,k)*dt; xl2(:,k+1)=xl2(:,k)+(G(1)*a(1)*uf2(:)-2*a(1)*xl2(:,k)-a(1)*a(1)*yl2(:,k))*dt; yl2(:,k+1)=yl2(:,k)+xl2(:,k)*dt; xf2(:,k+1)=xf2(:,k)+(G(3)*a(3)*zf2(:,k)-2*a(3)*xf2(:,k)-a(3)*a(3)*yf2(:,k))*dt; yf2(:,k+1)=yf2(:,k)+xf2(:,k)*dt; xp3(:,k+1)=xp3(:,k)+(G(1)*a(1)*zp3(:,k)-2*a(1)*xp3(:,k)-a(1)*a(1)*yp3(:,k))*dt; yp3(:,k+1)=yp3(:,k)+xp3(:,k)*dt; xe3(:,k+1)=xe3(:,k)+(G(1)*a(1)*(ze3(:,k)+up3(:)./C(:,2))-2*a(1)*xe3(:,k)-a(1)*a(1)*ye3(:,k))*dt; ye3(:,k+1)=ye3(:,k)+xe3(:,k)*dt; xs3(:,k+1)=xs3(:,k)+(G(2)*a(2)*zs3(:,k)-2*a(2)*xs3(:,k)-a(2)*a(2)*ys3(:,k))*dt; ys3(:,k+1)=ys3(:,k)+xs3(:,k)*dt; xl3(:,k+1)=xl3(:,k)+(G(1)*a(1)*uf3(:)-2*a(1)*xl3(:,k)-a(1)*a(1)*yl3(:,k))*dt; yl3(:,k+1)=yl3(:,k)+xl3(:,k)*dt; xf3(:,k+1)=xf3(:,k)+(G(3)*a(3)*zf3(:,k)-2*a(3)*xf3(:,k)-a(3)*a(3)*yf3(:,k))*dt; yf3(:,k+1)=yf3(:,k)+xf3(:,k)*dt; end