f.setColumn(0, Arrays.copyOfRange(dvColumn, 1, dvColumn.length));
if (normalizeLateralization){ // compute alphaLat score
f.setEntry(0, 0, (dvColumn[0] - dvColumn[1]) / (dvColumn[0] + dvColumn[1]));
} else {
f.setEntry(0, 0, dvColumn[0] - dvColumn[1]);
<BUG>}
if (dv == null || predictionFilter < 0) {</BUG>
dv = f;
} else {
if (predictionFilter >= 0.) {// exponiential smoothing of predictions

f.setColumn(0, Arrays.copyOfRange(dvColumn, 1, dvColumn.length));
if (normalizeLateralization){ // compute alphaLat score
f.setEntry(0, 0, (dvColumn[0] - dvColumn[1]) / (dvColumn[0] + dvColumn[1]));
} else {
f.setEntry(0, 0, dvColumn[0] - dvColumn[1]);
}
}
if (dv == null || predictionFilter < 0) {
dv = f;
} else {
if (predictionFilter >= 0.) {// exponiential smoothing of predictions
