field name ofcfg. | default | input | description |
---|---|---|---|
sgncmb | Â | strings | Nx2 cell array of specific channel pairs to analyze |
channel | Â | strings | cell array of channel names, all combinations will be tested |
Path2TSTOOL | Â | string | path to the folder including the required TSTOOL package |
toi | Â | vector | first and last time point of the time range of interest (in seconds) |
predictiontime_u | Â | integer number | estimated prediction time (in milliseconds) |
optimizemethod | Â | string | Method to optimize parameters: 'ragwitz' or 'cao' |
ragdim | 1 to 10 | vector | In case of optimizemethod = 'ragwitz': range of embedding dimensions to scan |
ragtaurange |  | vector | In case of optimizemethod = 'ragwitz': 1 × 2 vector of min and max embedding delays (in units of ACT) |
ragtausteps | 10 | integer number | In case of optimizemethod = 'ragwitz': number of equidistant steps in ragtaurange (minimum 5) |
flagNei | Â | string | In case of optimizemethod = 'ragwitz': 'Range' or 'Mass' type of neighbor search |
sizeNei | Â | integer number | In case of optimizemethod = 'ragwitz': Radius or mass for the neighbor search according to flagNei |
repPred | Â | integer number | In case of optimizemethod = 'ragwitz': repPred represents the number of sample points for which the prediction is performed (it has to be smaller than length(timeSeries) - (d - 1) * tau * ACT - u) |
caodim | 1 to 10 | integer number | In case of optimizemethod = 'cao': indicates the range of embedding dimensions d that is scanned using the Cao criterion to find the optimal dimension |
caokth_neighbors | 4 | integer number | In case of optimizemethod = 'cao': number of neighbors for fixed mass search for cao (controls balance of bias/statistical errors) |
tau | 1.5 | number | In case of optimizemethod = 'cao': embedding delay (in units of ACT) |
kth_neighbors | 4 | integer number | number of neighbors for fixed mass search in TE calculation (controls balance of bias/statistical errors). In case of using optimizemethod = 'cao': kth_neighbors = caokth_neighbors |
TheilerT | 'ACT' | integer number or 'ACT' | number of temporal neighbors excluded to avoid serial correla-tions in TE calculation (Theiler correction) |
trialselect | 'ACT' | string | selecting trials: 'no' = use all trials, 'range' = use range of trial numbers, 'ACT' use trials with ACT lower than threshold |
actthrvalue | Â | integer number | in case of trialselect='ACT' maximum threshold of the ACT for trial selection |
trial_from | Â | integer number | first trial in case of range selection of trials |
trial_to | Â | integer number | last trial in case of range selection of trials |
maxlag | 1000 | integer number | the range of lags for computing the ACT: from -MAXLAG to MAXLAG (in samples) |