-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy pathsetTaskIO.m
More file actions
148 lines (127 loc) · 3.26 KB
/
setTaskIO.m
File metadata and controls
148 lines (127 loc) · 3.26 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
function [TaskIO] = setTaskIO(SubjectId,RunId)
randomSeed = hex2dec(SubjectId) + RunId*100;
rng(randomSeed,"twister");
%% Set the index of the Sup paris
supIdx = [
0;
1;
2;
4;
5;
7;
9;
11;
12;
14;
15;
16;
18;
19;
20;
22;
24;
25;
27;
29;
30;
33;
35];
nonComIdx = [
8;
13;
17;
21;
28;
32];
%% Select 4 different columns of the addition table (nbackCol)
supCol = floor(supIdx./6);
supColPmf = histcounts(supCol,6)'./numel(supIdx);
supColCdf = cumsum(supColPmf);
nBackCol = nan(4,1);
for ii = 1:4
selCol = find(rand(1)<supColCdf,1);
selPmf = supColPmf(selCol);
supColPmf(selCol) = 0;
stillIn = supColPmf>0;
supColPmf = supColPmf + double(stillIn).*(selPmf/sum(stillIn));
supColCdf = cumsum(supColPmf);
nBackCol(ii) = selCol-1;
end
%% Select the Nback pairs (nBackIdx)
nBackIdx = nan(size(nBackCol));
for ii = 1:numel(nBackIdx)
nBackIdx(ii) = randsample(supIdx(supCol==nBackCol(ii)), 1);
end
%% Set the order of OneBack and TwoBack
nBackType = [1;1;2;2];
nBackType = nBackType(randperm(numel(nBackType)));
%% Get the Run structure
runStructs = load('RunStructures.mat');
runStructs = runStructs.RunStructures;
if RunId > 0
runSeq = runStructs(RunId).TypePerm;
isiListNoNan = runStructs(RunId).ISI;
else
runSeq = [(0:35)';nan(4,1)];
runSeq = runSeq(randperm(numel(runSeq)));
isiListNoNan = rand(36,1).*4 + 1;
end
isiList = nan(40,1);
isiList(~isnan(runSeq)) = isiListNoNan;
%% Permute the trial order, relabelling rows and columns
runSeqNoNan = runSeq(~isnan(runSeq));
gridOrder = nan(6*6,1);
gridOrder(runSeqNoNan+1) = (1:(6*6))';
gridOrder = reshape(gridOrder,6,6);
gridPerm = randperm(6);
gridOrder = gridOrder(gridPerm,gridPerm);
gridOrder = gridOrder(:);
[~,runSeqNoNan] = sort(gridOrder);
runSeqNoNan = runSeqNoNan -1;
runSeq(~isnan(runSeq)) = runSeqNoNan;
%% Preallocate the TaskIO structure
numTrials = 6^2 + 4;
TaskIO = repmat(struct( ...
'TrialType', '', ...
'PairId', NaN, ...
'isiLength', NaN, ...
'arrayPerm', [], ...
'startPos', NaN, ...
'a', NaN,...
'b', NaN,...
'r', NaN,...
'tShowA', NaN,...
'tShowB', NaN,...
'tArray', NaN,...
'tRespo', NaN), ...
numTrials,1);
%%
for iTrial = 1:numTrials
cPairId = runSeq(iTrial);
TaskIO(iTrial).PairId = cPairId;
if isnan(cPairId)
TaskIO(iTrial).TrialType = 'Null';
else
TaskIO(iTrial).isiLength = isiList(iTrial);
TaskIO(iTrial).arrayPerm = randperm(6);
TaskIO(iTrial).startPos = randi(6);
a = mod(cPairId, 6);
b = mod(floor(cPairId / 6), 6);
TaskIO(iTrial).a = a;
TaskIO(iTrial).b = b;
if ismember(cPairId, nBackIdx)
inbackIdx = find(cPairId == nBackIdx, 1);
n = nBackType(inbackIdx);
TaskIO(iTrial).TrialType = append(num2str(n), 'Back');
elseif ismember(cPairId, (0:5)) || (mod(cPairId,6)==0)
TaskIO(iTrial).TrialType = 'ZeroPlus';
elseif ismember(cPairId, supIdx)
TaskIO(iTrial).TrialType = 'Sup';
elseif ismember(cPairId, nonComIdx)
TaskIO(iTrial).TrialType = 'NonCom';
else
TaskIO(iTrial).TrialType = 'Com';
end
end
end
return