-
Notifications
You must be signed in to change notification settings - Fork 1
Expand file tree
/
Copy pathsinecond_model_2input.m
More file actions
196 lines (180 loc) · 8.39 KB
/
sinecond_model_2input.m
File metadata and controls
196 lines (180 loc) · 8.39 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
function [IPmax_obs,IPmin_obs,IPpk2pk_obs,OPmax_obs,OPmin_obs,OPpk2pk_obs,IPmax_exp,IPmin_exp,IPpk2pk_exp,OPmax_exp,OPmin_exp,OPpk2pk_exp] = sinecond_model_2input(ge_base1,ge_base2,ge_amp1,ge_amp2,gi_base1,gi_base2,gi_amp1,gi_amp2,plot_opt,active)
%
% sinecond_model_2input.m
% Models the membrane potentials that would results from sinusoidal
% changes in two different excitatory and/or inhibitory conductances
% in phase and out of phase with each other
% USAGE:
% [IPmax_obs,IPmin_obs,IPpk2pk_obs,OPmax_obs,OPmin_obs,OPpk2pk_obs,IPmax_exp,IPmin_exp,IPpk2pk_exp,OPmax_exp,OPmin_exp,OPpk2pk_exp]
% = sinecond_model_2input(ge_base1,ge_base2,ge_amp1,ge_amp2,gi_base1,gi_base2,gi_amp1,gi_amp2,plot_opt,active)
% WHERE:
% IPmax_obs... OPpk2pk_exp = observed (conductance model) and expected (linear voltage sum) max, min, peak-to-peak values
% ge_base1,2 = baseline exctitatory conductances (nS)
% ge_amp1,2 = amplitudes of excitatory conductance changes (nS)
% gi_base1,2 = baseline inhibitory conductances (nS)
% gi_amp1,2 = amplitudes of inhibitory conductance changes (nS)
% plot_opt = plot option (1=yes)
% active = active conductance option (1=yes)
%
% Sampling Times
time = [1:1:1000*5];
time_stim = time(1001:4000);
time_stim_shift = time(501:3500);
time_cycsym = time(2001:3000);
% Neuron Resting Potential (mV), Resistance (MOhm), and Capacitance (nF)
E = -65;
R = 200;
C = 0.15;
% Reversal Potentials (mV)
Ve = 0;
Vi = -75;
%%%%% PSPs in Phase %%%%%
% Run Model on Conductances from First Input Only
ge1(time) = ge_base1;
ge1(time_stim) = ge_base1+ge_amp1*(sin(2*pi*(1/1000)*time_stim));
ge1(find(ge1<0)) = 0;
ge1 = ge1 + ge_base2;
gi1(time) = gi_base1;
gi1(time_stim) = gi_base1-gi_amp1*(sin(2*pi*(1/1000)*time_stim));
gi1(find(gi1<0)) = 0;
gi1 = gi1 + gi_base2;
if active==1,
[Vm,Vrest] = leak_int_act(time,0,C,R,E,ge_base1+ge_base2,ge1,Ve,gi_base1+gi_base2,gi1,Vi);
else
[Vm,Vrest] = leak_int(time,0,C,R,E,ge_base1+ge_base2,ge1,Ve,gi_base1+gi_base2,gi1,Vi);
end
Vm1 = Vm-Vrest;
% Run Model on Conductances from Second Input Only
ge2(time) = ge_base2;
ge2(time_stim) = ge_base2+ge_amp2*(sin(2*pi*(1/1000)*time_stim));
ge2(find(ge2<0)) = 0;
ge2 = ge2 + ge_base1;
gi2(time) = gi_base2;
gi2(time_stim) = gi_base2-gi_amp2*(sin(2*pi*(1/1000)*time_stim));
gi2(find(gi2<0)) = 0;
gi2 = gi2 + gi_base1;
if active==1,
[Vm,Vrest] = leak_int_act(time,0,C,R,E,ge_base1+ge_base2,ge2,Ve,gi_base1+gi_base2,gi2,Vi);
else
[Vm,Vrest] = leak_int(time,0,C,R,E,ge_base1+ge_base2,ge2,Ve,gi_base1+gi_base2,gi2,Vi);
end
Vm2 = Vm-Vrest;
% Run Model on Conductances from Both Inputs
ge12ip = ge1+ge2-ge_base1-ge_base2;
gi12ip = gi1+gi2-gi_base1-gi_base2;
if active==1,
[Vm,Vrest] = leak_int_act(time,0,C,R,E,ge_base1+ge_base2,ge12ip,Ve,gi_base1+gi_base2,gi12ip,Vi);
else
[Vm,Vrest] = leak_int(time,0,C,R,E,ge_base1+ge_base2,ge12ip,Ve,gi_base1+gi_base2,gi12ip,Vi);
end
Vm12ip = Vm-Vrest;
% Create Expected Linear Combinations
Vm12ip_exp = Vm1 + Vm2;
% Calculate Maxima, Minima, and Peak-to-Peak Amplitudes
IPmax_obs = max(Vm12ip(time_cycsym));
IPmin_obs = min(Vm12ip(time_cycsym));
IPpk2pk_obs = IPmax_obs-IPmin_obs;
IPmax_exp = max(Vm12ip_exp(time_cycsym));
IPmin_exp = min(Vm12ip_exp(time_cycsym));
IPpk2pk_exp = IPmax_exp-IPmin_exp;
% Plot Conductances and Membrane Potential Responses
if plot_opt==1,
figure('Name','Responses in Phase','NumberTitle','off','Position',[100 200 1100 700],'Color',[1 1 1]);
axv(1) = subplot(231);
plot(time(time_cycsym)-min(time(time_cycsym)),ge1(time_cycsym),'b-',time(time_cycsym)-min(time(time_cycsym)),gi1(time_cycsym),'r-','LineWidth',2)
ylabel('g (nS)','FontName','Arial','FontSize',14);
legend('Excitatory','Inhibitory','Location','Best');
axv(2) = subplot(232);
plot(time(time_cycsym)-min(time(time_cycsym)),ge2(time_cycsym),'b-',time(time_cycsym)-min(time(time_cycsym)),gi2(time_cycsym),'r-','LineWidth',2)
axv(3) = subplot(233);
plot(time(time_cycsym)-min(time(time_cycsym)),ge12ip(time_cycsym),'b-',time(time_cycsym)-min(time(time_cycsym)),gi12ip(time_cycsym),'r-','LineWidth',2)
axv(4) = subplot(234);
plot(time(time_cycsym)-min(time(time_cycsym)),Vm1(time_cycsym),'k-','LineWidth',2)
xlabel('Time (ms)','FontName','Arial','FontSize',14);
ylabel('V_m (mV)','FontName','Arial','FontSize',14);
axv(5) = subplot(235);
plot(time(time_cycsym)-min(time(time_cycsym)),Vm2(time_cycsym),'k-','LineWidth',2)
xlabel('Time (ms)','FontName','Arial','FontSize',14);
axv(6) = subplot(236);
plot(time(time_cycsym)-min(time(time_cycsym)),Vm12ip(time_cycsym),'k-',time(time_cycsym)-min(time(time_cycsym)),Vm12ip_exp(time_cycsym),'g--','LineWidth',2)
xlabel('Time (ms)','FontName','Arial','FontSize',14);
legend('Observed','Expected','Location','Best');
set(axv,'XColor','k','YColor','k','FontName','Arial','FontSize',14,'Box','Off','TickDir','out','LineWidth',2,'TickLength',[0.04 0.04])
zoom on
end
%%%%% PSPs in Phase %%%%%
%%%%% PSPs Out of Phase %%%%%
% Run Model on Conductances from First Input Only
ge1(time) = ge_base1;
ge1(time_stim) = ge_base1+ge_amp1*(sin(2*pi*(1/1000)*time_stim));
ge1(find(ge1<0)) = 0;
ge1 = ge1 + ge_base2;
gi1(time) = gi_base1;
gi1(time_stim) = gi_base1-gi_amp1*(sin(2*pi*(1/1000)*time_stim));
gi1(find(gi1<0)) = 0;
gi1 = gi1 + gi_base2;
if active==1,
[Vm,Vrest] = leak_int_act(time,0,C,R,E,ge_base1+ge_base2,ge1,Ve,gi_base1+gi_base2,gi1,Vi);
else
[Vm,Vrest] = leak_int(time,0,C,R,E,ge_base1+ge_base2,ge1,Ve,gi_base1+gi_base2,gi1,Vi);
end
Vm1 = Vm-Vrest;
% Run Model on Conductances from Second Input Only
ge2(time) = ge_base2;
ge2(time_stim_shift) = ge_base2+ge_amp2*(sin(2*pi*(1/1000)*time_stim));
ge2(find(ge2<0)) = 0;
ge2 = ge2 + ge_base1;
gi2(time) = gi_base2;
gi2(time_stim_shift) = gi_base2-gi_amp2*(sin(2*pi*(1/1000)*time_stim));
gi2(find(gi2<0)) = 0;
gi2 = gi2 + gi_base1;
if active==1,
[Vm,Vrest] = leak_int_act(time,0,C,R,E,ge_base1+ge_base2,ge2,Ve,gi_base1+gi_base2,gi2,Vi);
else
[Vm,Vrest] = leak_int(time,0,C,R,E,ge_base1+ge_base2,ge2,Ve,gi_base1+gi_base2,gi2,Vi);
end
Vm2 = Vm-Vrest;
% Run Model on Conductances from Both Inputs
ge12op = ge1+ge2-ge_base1-ge_base2;
gi12op = gi1+gi2-gi_base1-gi_base2;
if active==1,
[Vm,Vrest] = leak_int_act(time,0,C,R,E,ge_base1+ge_base2,ge12op,Ve,gi_base1+gi_base2,gi12op,Vi);
else
[Vm,Vrest] = leak_int(time,0,C,R,E,ge_base1+ge_base2,ge12op,Ve,gi_base1+gi_base2,gi12op,Vi);
end
Vm12op = Vm-Vrest;
% Create Expected Linear Combinations
Vm12op_exp = Vm1 + Vm2;
% Calculate Maxima, Minima, and Peak-to-Peak Amplitudes
OPmax_obs = max(Vm12op(time_cycsym));
OPmin_obs = min(Vm12op(time_cycsym));
OPpk2pk_obs = OPmax_obs-OPmin_obs;
OPmax_exp = max(Vm12op_exp(time_cycsym));
OPmin_exp = min(Vm12op_exp(time_cycsym));
OPpk2pk_exp = OPmax_exp-OPmin_exp;
% Plot Conductances and Membrane Potential Responses
if plot_opt==1,
figure('Name','Responses Out of Phase','NumberTitle','off','Position',[100 200 1100 700],'Color',[1 1 1]);
axv(1) = subplot(231);
plot(time(time_cycsym)-min(time(time_cycsym)),ge1(time_cycsym),'b-',time(time_cycsym)-min(time(time_cycsym)),gi1(time_cycsym),'r-','LineWidth',2)
ylabel('g (nS)','FontName','Arial','FontSize',14);
legend('Excitatory','Inhibitory','Location','Best');
axv(2) = subplot(232);
plot(time(time_cycsym)-min(time(time_cycsym)),ge2(time_cycsym),'b-',time(time_cycsym)-min(time(time_cycsym)),gi2(time_cycsym),'r-','LineWidth',2)
axv(3) = subplot(233);
plot(time(time_cycsym)-min(time(time_cycsym)),ge12op(time_cycsym),'b-',time(time_cycsym)-min(time(time_cycsym)),gi12op(time_cycsym),'r-','LineWidth',2)
axv(4) = subplot(234);
plot(time(time_cycsym)-min(time(time_cycsym)),Vm1(time_cycsym),'k-','LineWidth',2)
xlabel('Time (ms)','FontName','Arial','FontSize',14);
ylabel('V_m (mV)','FontName','Arial','FontSize',14);
axv(5) = subplot(235);
plot(time(time_cycsym)-min(time(time_cycsym)),Vm2(time_cycsym),'k-','LineWidth',2)
xlabel('Time (ms)','FontName','Arial','FontSize',14);
axv(6) = subplot(236);
plot(time(time_cycsym)-min(time(time_cycsym)),Vm12op(time_cycsym),'k-',time(time_cycsym)-min(time(time_cycsym)),Vm12op_exp(time_cycsym),'g--','LineWidth',2)
xlabel('Time (ms)','FontName','Arial','FontSize',14);
legend('Observed','Expected','Location','Best');
set(axv,'XColor','k','YColor','k','FontName','Arial','FontSize',14,'Box','Off','TickDir','out','LineWidth',2,'TickLength',[0.04 0.04])
zoom on
end
%%%%% PSPs Out of Phase %%%%%