0001
0002
0003
0004
0005
0006
0007
0008 ntt = 0;
0009
0010 ntt = ntt+1;
0011 tinfo.id{ntt} = 'F1L1_F2L1';
0012 tinfo.num_trials(ntt) = 12;
0013
0014 ntt = ntt+1;
0015 tinfo.id{ntt} = 'F1L1_F2L2';
0016 tinfo.num_trials(ntt) = 12;
0017
0018 ntt = ntt+1;
0019 tinfo.id{ntt} = 'F1L2_F2L1';
0020 tinfo.num_trials(ntt) = 12;
0021
0022 ntt = ntt+1;
0023 tinfo.id{ntt} = 'F1L2_F2L2';
0024 tinfo.num_trials(ntt) = 12;
0025
0026 ntt = ntt+1;
0027 tinfo.id{ntt} = 'F1L3_F2L1';
0028 tinfo.num_trials(ntt) = 6;
0029
0030 ntt = ntt+1;
0031 tinfo.id{ntt} = 'F1L3_F2L2';
0032 tinfo.num_trials(ntt) = 6;
0033
0034 ntt = ntt+1;
0035 tinfo.id{ntt} = 'F1L4_F2L1';
0036 tinfo.num_trials(ntt) = 6;
0037
0038 ntt = ntt+1;
0039 tinfo.id{ntt} = 'F1L4_F2L2';
0040 tinfo.num_trials(ntt) = 6;
0041
0042 ntt = ntt+1;
0043 tinfo.id{ntt} = 'Sil';
0044 tinfo.num_trials(ntt) = 0;
0045
0046 trials_per_iteration = sum(tinfo.num_trials);
0047
0048 num_iterations = 2;
0049
0050 nslices = 18;
0051 min_ms_per_slice = 100;
0052
0053 TR = nslices*min_ms_per_slice;
0054
0055 notes_per_seq = 8;
0056 ms_per_note = 700;
0057 resp_period = 2000;
0058 prime_dur = (notes_per_seq-1)*ms_per_note;
0059
0060 cue_dur = 500;
0061 cue_stim_soa_range = [1000 2000];
0062 inter_trial_interval_range = [1*TR 3*TR]*1;
0063
0064 mag_stabilize_s = 30;
0065
0066 total_trials = trials_per_iteration * num_iterations
0067 stim_dur = notes_per_seq*ms_per_note + resp_period;
0068
0069 cue_stim_soa_list = ...
0070 rand(1,total_trials)*diff(cue_stim_soa_range)+min(cue_stim_soa_range);
0071 trial_durs = cue_stim_soa_list + stim_dur;
0072 pure_stim_time = sum(trial_durs);
0073
0074 iti_list = rand(1,total_trials)*diff(inter_trial_interval_range)+min(inter_trial_interval_range);
0075 total_jitter_time = sum(iti_list);
0076
0077 total_time_s = (pure_stim_time+total_jitter_time)/1000
0078 total_time_min = total_time_s/60
0079
0080
0081
0082 trial_type_list = [];
0083 for itt = 1:ntt
0084 trial_type_list(end+1:end+tinfo.num_trials(itt)) = itt;
0085 end
0086
0087
0088 trial_list = trial_type_list(randperm(length(trial_type_list)));
0089
0090
0091 onsets = cumsum(iti_list + trial_durs)-(iti_list(1)+trial_durs(1));
0092
0093 scans_per_iteration = ceil((total_time_s*1000/num_iterations)/TR)