public double sfaError() {
int nPieceWiseParmsExp = expSpikePatternData.getSpikePatternClass().getnPieceWiseParms();
int nPieceWiseParmsModel = patternClassifier.getSpikePatternClass().getnPieceWiseParms();
double possibleWeightForFutureNEAR = nPieceWiseParmsExp - nPieceWiseParmsModel; // coarse!!
double error = 0;
double minError = 0;
double maxMerror = 1;
double maxCerror = 2;
double maxNsfaError = expSpikePatternData.getCurrentDuration() * 0.3;
SolverResultsStat modelStats =
patternClassifier.getSolverResultsStats()[nPieceWiseParmsExp - 1];
int modelNsfaISIs1 = modelStats.getBreakPoint();
int modelNsfaISIs2 = modelSpikePattern.getISIs().length - modelNsfaISIs1;
double[] model =
new double[] {
modelStats.getM1(),
modelStats.getM2(),
modelStats.getC1(),
modelStats.getC2(),
modelNsfaISIs1,
modelNsfaISIs2
};
double[] exp =
new double[] {
expSpikePatternData.getSfaLinearM1().getValue(),
expSpikePatternData.getSfaLinearM2().getValue(),
expSpikePatternData.getSfaLinearb1().getValue(),
expSpikePatternData.getSfaLinearb2().getValue(),
expSpikePatternData.getNSfaISIs1().getValue(),
expSpikePatternData.getNSfaISIs2().getValue(),
};
for (int i = 0; i < 6; i++) {
if (i < 2) { // slopes
error += StatUtil.calculate0to1NormalizedError(exp[i], model[i], minError, maxMerror);
} else {
if (i < 4) { // intercepts
error += StatUtil.calculate0to1NormalizedError(exp[i], model[i], minError, maxCerror);
} else {
error += StatUtil.calculate0to1NormalizedError(exp[i], model[i], minError, maxNsfaError);
}
}
}
error =
patternClassifier.getDynamicFeatWeightMatrix().get(PatternFeatureID.n_sfa_isis2) * error;
if (display) {
displayRoutineForSFA(null, model, error);
}
return error;
}
private double measureSWA() {
double swa = 0;
double[] ISIs = modelSpikePattern.getISIs();
if (ISIs == null || ISIs.length == 0) {
return swa;
}
double timeMin = modelSpikePattern.getTimeMin() + modelSpikePattern.getFSL();
double timeMax =
modelSpikePattern.getTimeMin() + modelSpikePattern.getDurationOfCurrentInjection() - 5;
double minVolt =
modelSpikePattern.getModelSpikePatternData().getMinVoltage(timeMin, timeMax, 1);
swa = modelVmin - minVolt;
return swa;
}
public double sfaErrorObsNormed() {
// System.out.println("****"+sfa()+"****");
// int nPieceWiseParmsExp = expSpikePatternData.getSpikePatternClass().getnPieceWiseParms();
int nPieceWiseParmsModel = patternClassifier.getSpikePatternClass().getnPieceWiseParms();
double error = 0;
SolverResultsStat modelStats = null;
if (nPieceWiseParmsModel > 0) { // ASP, NASP, X
modelStats = patternClassifier.getSolverResultsStats()[nPieceWiseParmsModel - 1];
} else { // ASP error for other comps. for example, TSWB
patternClassifier.calculateAdaptationForNonSP(0);
modelStats = patternClassifier.getSolverResultsStats()[1]; // idx 1 for linear regression
}
int modelNsfaISIs1 = 1 + modelStats.getBreakPoint(); // 0-based idx ; hence +1
int modelNsfaISIs2 = modelSpikePattern.getISIs().length - modelNsfaISIs1; // remaining
double[] model =
new double[] {
modelStats.getM1(),
modelStats.getC1(),
modelNsfaISIs1,
modelStats.getM2(),
modelStats.getC2(),
modelNsfaISIs2
};
PatternFeature[] exp =
new PatternFeature[] {
expSpikePatternData.getSfaLinearM1(),
expSpikePatternData.getSfaLinearb1(),
expSpikePatternData.getNSfaISIs1(),
expSpikePatternData.getSfaLinearM2(),
expSpikePatternData.getSfaLinearb2(),
expSpikePatternData.getNSfaISIs2()
};
// System.out.println(patternClassifier.getDynamicFeatWeightMatrix().size());
float sfa1Weight =
patternClassifier.getDynamicFeatWeightMatrix().get(PatternFeatureID.n_sfa_isis1);
float sfa2weight =
patternClassifier.getDynamicFeatWeightMatrix().get(PatternFeatureID.n_sfa_isis2);
for (int i = 0; i < 6; i++) {
// SFA 1
if (i == 0) { // m1
error += sfa1Weight * NormalizedErrorObsNormed(exp[i], model[i]);
continue;
}
if (i == 1) { // b1
error += sfa1Weight * NormalizedErrorObsNormed(exp[i], model[i]);
continue;
}
if (i == 2) { // nsfaisis1
error += sfa1Weight * NormalizedErrorObsNormed(exp[i], model[i]);
continue;
}
// SFA 2
if (i == 3) { // m2
error += sfa2weight * NormalizedErrorObsNormed(exp[i], model[i]);
continue;
}
if (i == 4) { // b2
error += sfa2weight * NormalizedErrorObsNormed(exp[i], model[i]);
continue;
}
if (i == 5) { // nsfaisis 2
error += sfa2weight * NormalizedErrorObsNormed(exp[i], model[i]);
continue;
}
}
if (display) {
displayRoutineForSFA(exp, model, error);
}
return error;
}
public float calculatePatternError() {
float patternError = Float.MAX_VALUE;
float patternValidityErrorVmin = 0;
float patternValidityErrorVrest = 0;
if (modelSpikePattern == null) {
if (display) {
System.out.println(
"**NULL compartment SPIKE PATTERN** SPEvaluatorV2:calculatePatternError()");
}
return patternError;
}
// && Math.abs(Float.MAX_VALUE - modelError)>10.0f
if (checkForPatternValidity) {
if (expSpikePatternData.getType() == PatternType.SPIKES) {
// if(!modelSpikePattern.isValidSpikesPattern(modelVmin, modelVr)) { if(display) {
// System.out.println("**Invalid SPIKEs Pattern**"); }
if (!modelSpikePattern.isValidSpikesPattern()) {
if (display) {
System.out.println("**Invalid SPIKEs Pattern** SPEvaluatorV2:calculatePatternError()");
}
return patternError;
}
/*else{
// if(!expSpikePatternData.getFeaturesToEvaluate().contains(PatternFeatureID.bursts))
{
patternValidityErrorVmin = nonBurstBelowVminError(modelVmin);
}
patternValidityErrorVrest = spikesBelowVrestError(modelVr);
}*/
if (modelSpikePattern.getISIs() == null) {
if (display) {
System.out.println("**Null ISIs** SPEvaluatorV2:calculatePatternError()");
}
return patternError;
}
}
} /*else{
if(modelSpikePattern.getSpikeTimes().length < 1
||
(modelSpikePattern.getSpikeTimes()[modelSpikePattern.getSpikeTimes().length-1] - modelSpikePattern.getTimeMin()) > (modelSpikePattern.getDurationOfCurrentInjection()+10)) {
return patternError;
}
if(modelSpikePattern.getISIs() == null ) { if(display) {System.out.println("**Null ISIs**"); }
return patternError;
}
}*/
// System.out.println("SPE:: patternWeighted Avg Error will..");
patternError = patternWeightedAvgError();
// System.out.println("SPE:: patternWeighted Avg Error done..");
float avgPatternError;
if (expSpikePatternData.getType() == PatternType.SPIKES
|| expSpikePatternData.getType() == PatternType.RBASE) {
avgPatternError =
(float)
(patternRepairWeights[0] * patternError
+ patternRepairWeights[1] * patternValidityErrorVmin
+ patternRepairWeights[2] * patternValidityErrorVrest);
} else {
avgPatternError = patternError;
}
if (display) {
System.out.print(
"\nPatternFeatError\t"
+ GeneralUtils.formatThreeDecimal(patternError)
+ "\nPatternValidityErrorVmin\t"
+ GeneralUtils.formatThreeDecimal(patternValidityErrorVmin)
+ "\nPatternValidityErrorVrest\t"
+ GeneralUtils.formatThreeDecimal(patternValidityErrorVrest));
}
return avgPatternError * expSpikePatternData.getPatternWeight();
}
