-
Notifications
You must be signed in to change notification settings - Fork 2
/
Addestramento_sinapsi_senzaW.m
173 lines (121 loc) · 3.39 KB
/
Addestramento_sinapsi_senzaW.m
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
%% ADDESTRAMENTO
%% stimoli base
%Sn: stimolo, ipotesi di diversi stimoli applicati alla rete
Ns = 4;
%S1: stimolo 1
S1 = zeros(Ns,1);
S1(1) = 1.0; %stimolo massimo in posizione 1
S1(2) = 0.; %stimolo alto in posizione 2
S1(3) = 0;
S1(4) = 0;
Correct_winner_1 = 1;
%S2: stimolo 2
S2 = zeros(Ns,1);
S2(1) = 0.; %stimolo alto in posizione 1
S2(2) = 1.0; %stimolo massimo in posizione 2
S2(3) = 0;
S2(4) = 0;
Correct_winner_2 = 2;
%% %%%%%%%%%%%%%%%%%% SOGGETTO NORMALE %%%%%%%%%%%%%%%%%%%%%%%%%%
%% inizializzazione sinapsi
Nc = 4;
%
%
% par = 1/10;
% %pesi da corteccia a Go (sinapsi eccitatorie)
% Wgc = 0.48*diag(ones(Nc,1))-par*0.48*diag(ones(Nc,1));
% Wgc(3,3) = 0;
% Wgc(4,4) = 0;
%
%
% %pesi da stimolo a Go (sinapsi eccitatorie)
% Wgs = 0.6*diag(ones(Nc,1))-par*0.6*diag(ones(Nc,1));
% Wgs(1,2) = 0.2;
% Wgs(2,1) = 0.2;
%
% %pesi da corteccia a NoGo (sinapsi eccitatorie)
% Wnc = 1.08*diag(ones(Nc,1))-par*1.08*diag(ones(Nc,1));
%
% %pesi da stimolo a NoGo (sinapsi eccitatorie)
% Wns = 0.4*diag(ones(Nc,1))-par*0.4*diag(ones(Nc,1));
% Wns(1,2) = 0.2;
% Wns(2,1) = 0.2;
%%
N_epoche = 50; %PER NaN
j1_reward = 3;
j1_punishment = 5;
% S1_reward = 3:4:(3+4*100);
% S1_punishment = 5:4:(5+4*100);
j2_reward = 2;
j2_punishment = 4;
% S2_reward = 2:4:(2+4*100);
% S2_punishment = 4:4:(2+4*100);
Wgc_epocs = zeros(Nc,Nc,N_epoche);
Wgs_epocs= zeros(Nc,Nc,N_epoche);
Wnc_epocs = zeros(Nc,Nc,N_epoche);
Wns_epocs = zeros(Nc,Nc,N_epoche);
Wgc_epocs(:,:,1) = Wgc;
Wgs_epocs(:,:,1) = Wgs;
Wnc_epocs(:,:,1) = Wnc;
Wns_epocs(:,:,1) = Wns;
vett_reward = zeros(N_epoche,1);
vett_punishment = zeros(N_epoche,1);
vett_no_risposta = zeros(N_epoche,1);
S_vett = zeros(2,N_epoche);
S1_vett = zeros(2,N_epoche);
S2_vett = zeros(2,N_epoche);
%%
for i = 1:N_epoche
i
Wgc = squeeze(Wgc_epocs(:,:,i));
Wgs = squeeze(Wgs_epocs(:,:,i));
Wnc = squeeze(Wnc_epocs(:,:,i));
Wns = squeeze(Wns_epocs(:,:,i));
resto = rem(i,2);
noise = 0.*randn(2,1);
if resto == 1 %sono nel caso dispari
S = S1;
S(1) = S(1)+noise(1);
S(2) = S(2)+noise(2);
Correct_winner = Correct_winner_1;
elseif resto == 0 %sono nel caso pari
S = S2;
S(1) = S(1)+noise(1);
S(2) = S(2)+noise(2);
Correct_winner = Correct_winner_2;
end
S(find(S>1)) = 1;
S(find(S<0)) = 0;
S(3:4) = 0;
[Uc,C,Ugo,Go,IGo_DA_Ach,Unogo,NoGo,INoGo_DA_Ach,Ugpe,Gpe,Ugpi,Gpi,Ut,T,Ustn,STN,E,tt,Wgc_post,Wgs_post,Wnc_post,Wns_post,r,k_reward,ChI] = BG_model_function_Ach(S,Wgc,Wgs,Wnc,Wns,Correct_winner,DA);
% i
% r
if r==1
vett_reward(i) = 1;
elseif r==-1
vett_punishment(i) = 1;
else
vett_no_risposta(i) = 1;
end
S_vett(1,i) = S(1);
S_vett(2,i) = S(2);
if resto == 1
S1_vett(1,i) = S(1);
S1_vett(2,i) = S(2);
elseif resto == 2
S2_vett(1,i) = S(1);
S2_vett(2,i) = S(2);
end
Wgc_epocs(:,:,i+1) = Wgc_post;
Wgs_epocs(:,:,i+1) = Wgs_post;
Wnc_epocs(:,:,i+1) = Wnc_post;
Wns_epocs(:,:,i+1) = Wns_post;
%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%
clear Wgc Wgs Wnc Wns
end
%premi
reward_tot = sum(vett_reward)
%punizioni
punishment_tot = sum(vett_punishment)
%no risposte
no_answer_tot = sum(vett_no_risposta)