package model;
import model.MARK_II.Neuron;
import model.MARK_II.Region;
import model.util.BoundingBox;
import model.util.Point3D;
/**
* @author Quinn Liu (quinnliu@vt.edu)
* @version July 5, 2014
*/
public class Layer5Region extends Region {
public Layer5Region(String biologicalName, int numberOfColumnsAlongRowsDimension,
int numberOfColumnsAlongColumnsDimension, int cellsPerColumn,
double percentMinimumOverlapScore, int desiredLocalActivity) {
super(biologicalName, numberOfColumnsAlongRowsDimension, numberOfColumnsAlongColumnsDimension, cellsPerColumn,
percentMinimumOverlapScore, desiredLocalActivity);
}
public Point3D getMotorOutput(BoundingBox boundingBox) {
// NOTE: x = width = super.columns[0].length AND y = height = super.columns.length
// split the Region x & y axis halfway along the x axis & only consider x less than this midpoint when
// calculating averageRetinaX and averageRetinaY
double regionWidth = super.columns[0].length / 2;
double regionHeight = super.columns.length;
double averageRegionXMultipliedByThisNumberEqualsNewBoundingBoxXPosition = boundingBox.getWidth() / regionWidth;
double averageRegionYMultipliedByThisNumberEqualsNewBoundingBoxYPosition = boundingBox.getHeight() / regionHeight;
double averageRegionZMultipliedByThisNumberEqualsNewBoundingBoxZPosition = boundingBox.getDepth() / regionHeight;
double averageRegionX = 0;
double averageRegionY = 0;
int numberOfActiveAndPredictiveNeuronsForXY = 0;
double averageRegionZ = 0;
int numberOfActiveAndPredictiveNeuronsForZ = 0;
for (int row = 0; row < super.columns.length; row++) {
for (int column = 0; column < super.columns[0].length; column++) {
for (Neuron neuron : super.columns[row][column].getNeurons()) {
if (neuron.getActiveState() == true || neuron.getPredictingState() == true) {
if (column < regionWidth) {
averageRegionX += column;
averageRegionY += row;
numberOfActiveAndPredictiveNeuronsForXY++;
} else {
// column >= regionWidth so use row variable to calculate averageRetinaZ
averageRegionZ += row;
numberOfActiveAndPredictiveNeuronsForZ++;
}
}
}
}
}
double newBoundingBoxXPosition = 0.0;
double newBoundingBoxYPosition = 0.0;
double newBoundingBoxZPosition = 0.0;
if (averageRegionX != 0.0) {
averageRegionX = averageRegionX / numberOfActiveAndPredictiveNeuronsForXY;
newBoundingBoxXPosition = averageRegionX * averageRegionXMultipliedByThisNumberEqualsNewBoundingBoxXPosition;
} else {
// do not manipulate variable newBoundingBoxXPosition
// this may be why people always look up when they are thinking hard since there is very
// little neuronal activity in the region of the neocortex that activates the eye muscles causing
// the eyes to move to the same default location...
}
if (averageRegionY != 0.0) {
averageRegionY = averageRegionY / numberOfActiveAndPredictiveNeuronsForXY;
newBoundingBoxYPosition = averageRegionY * averageRegionYMultipliedByThisNumberEqualsNewBoundingBoxYPosition;
} else {
// do not manipulate variable newBoundingBoxYPosition
}
if (averageRegionZ != 0.0) {
averageRegionZ = averageRegionZ / numberOfActiveAndPredictiveNeuronsForZ;
newBoundingBoxZPosition = averageRegionZ * averageRegionZMultipliedByThisNumberEqualsNewBoundingBoxZPosition;
} else {
// do not manipulate variable newBoundingBoxZPosition
}
return new Point3D(newBoundingBoxXPosition, newBoundingBoxYPosition, newBoundingBoxZPosition);
}
}