public void testNoChangeToNonSelectedMatchingSegmentsInBurstingColumn()
{
TemporalMemory tm = new TemporalMemory();
Connections cn = new Connections();
Parameters p = getDefaultParameters(null, KEY.PERMANENCE_DECREMENT, 0.08);
p.apply(cn);
tm.init(cn);
int[] previousActiveColumns = { 0 };
int[] activeColumns = { 1 };
Cell[] previousActiveCells = { cn.getCell(0), cn.getCell(1), cn.getCell(2), cn.getCell(3) };
Cell[] burstingCells = { cn.getCell(4), cn.getCell(5) };
DistalDendrite selectedMatchingSegment = cn.CreateDistalSegment(burstingCells[0]);
cn.createSynapse(selectedMatchingSegment, previousActiveCells[0], 0.3);
cn.createSynapse(selectedMatchingSegment, previousActiveCells[1], 0.3);
cn.createSynapse(selectedMatchingSegment, previousActiveCells[2], 0.3);
cn.createSynapse(selectedMatchingSegment, cn.getCell(81), 0.3);
DistalDendrite otherMatchingSegment = cn.CreateDistalSegment(burstingCells[1]);
Synapse as1 = cn.createSynapse(otherMatchingSegment, previousActiveCells[0], 0.3);
Synapse as2 = cn.createSynapse(otherMatchingSegment, previousActiveCells[1], 0.3);
Synapse is1 = cn.createSynapse(otherMatchingSegment, cn.getCell(81), 0.3);
tm.Compute(previousActiveColumns, true);
tm.Compute(activeColumns, true);
Assert.AreEqual(0.3, as1.getPermanence(), 0.01);
Assert.AreEqual(0.3, as2.getPermanence(), 0.01);
Assert.AreEqual(0.3, is1.getPermanence(), 0.01);
}
public void TestReinforcedCorrectlyActiveSegments()
{
TemporalMemory tm = new TemporalMemory();
Connections cn = new Connections();
Parameters p = getDefaultParameters(null, KEY.INITIAL_PERMANENCE, 0.2);
p = getDefaultParameters(p, KEY.MAX_NEW_SYNAPSE_COUNT, 4);
p = getDefaultParameters(p, KEY.PERMANENCE_DECREMENT, 0.08);
p = getDefaultParameters(p, KEY.PREDICTED_SEGMENT_DECREMENT, 0.02);
p.apply(cn);
tm.init(cn);
int[] previousActiveColumns = { 0 };
int[] activeColumns = { 1 };
Cell[] previousActiveCells = { cn.getCell(0), cn.getCell(1), cn.getCell(2), cn.getCell(3) };
Cell activeCell = cn.getCell(5);
DistalDendrite activeSegment = cn.CreateDistalSegment(activeCell);
Synapse as1 = cn.createSynapse(activeSegment, previousActiveCells[0], 0.5);
Synapse as2 = cn.createSynapse(activeSegment, previousActiveCells[1], 0.5);
Synapse as3 = cn.createSynapse(activeSegment, previousActiveCells[2], 0.5);
Synapse is1 = cn.createSynapse(activeSegment, cn.getCell(81), 0.5);
tm.Compute(previousActiveColumns, true);
tm.Compute(activeColumns, true);
Assert.AreEqual(0.6, as1.getPermanence(), 0.1);
Assert.AreEqual(0.6, as2.getPermanence(), 0.1);
Assert.AreEqual(0.6, as3.getPermanence(), 0.1);
Assert.AreEqual(0.42, is1.getPermanence(), 0.001);
}
public void testAdaptSegmentToMax()
{
TemporalMemory tm = new TemporalMemory();
Connections cn = new Connections();
Parameters p = Parameters.getAllDefaultParameters();
p.apply(cn);
tm.init(cn);
DistalDendrite dd = cn.CreateDistalSegment(cn.getCell(0));
Synapse s1 = cn.createSynapse(dd, cn.getCell(23), 0.9);
tm.adaptSegment(cn, dd, cn.getCellSet(new int[] { 23 }), cn.getPermanenceIncrement(), cn.getPermanenceDecrement());
Assert.AreEqual(1.0, s1.getPermanence(), 0.1);
// Now permanence should be at max
tm.adaptSegment(cn, dd, cn.getCellSet(new int[] { 23 }), cn.getPermanenceIncrement(), cn.getPermanenceDecrement());
Assert.AreEqual(1.0, s1.getPermanence(), 0.1);
}
public void testAdaptSegment()
{
TemporalMemory tm = new TemporalMemory();
Connections cn = new Connections();
Parameters p = Parameters.getAllDefaultParameters();
p.apply(cn);
tm.init(cn);
DistalDendrite dd = cn.CreateDistalSegment(cn.getCell(0));
Synapse s1 = cn.createSynapse(dd, cn.getCell(23), 0.6);
Synapse s2 = cn.createSynapse(dd, cn.getCell(37), 0.4);
Synapse s3 = cn.createSynapse(dd, cn.getCell(477), 0.9);
tm.adaptSegment(cn, dd, cn.getCellSet(new int[] { 23, 37 }), cn.getPermanenceIncrement(), cn.getPermanenceDecrement());
Assert.AreEqual(0.7, s1.getPermanence(), 0.01);
Assert.AreEqual(0.5, s2.getPermanence(), 0.01);
Assert.AreEqual(0.8, s3.getPermanence(), 0.01);
}
public void testNoChangeToMatchingSegmentsInPredictedActiveColumn()
{
TemporalMemory tm = new TemporalMemory();
Connections cn = new Connections();
Parameters p = getDefaultParameters();
p.apply(cn);
tm.init(cn);
int[] previousActiveColumns = { 0 };
int[] activeColumns = { 1 };
Cell[] previousActiveCells = { cn.getCell(0), cn.getCell(1), cn.getCell(2), cn.getCell(3) };
Cell expectedActiveCell = cn.getCell(4);
List <Cell> expectedActiveCells = new List <Cell>(new Cell[] { expectedActiveCell });
Cell otherBurstingCell = cn.getCell(5);
DistalDendrite activeSegment = cn.CreateDistalSegment(expectedActiveCell);
cn.createSynapse(activeSegment, previousActiveCells[0], 0.5);
cn.createSynapse(activeSegment, previousActiveCells[1], 0.5);
cn.createSynapse(activeSegment, previousActiveCells[2], 0.5);
cn.createSynapse(activeSegment, previousActiveCells[3], 0.5);
DistalDendrite matchingSegmentOnSameCell = cn.CreateDistalSegment(expectedActiveCell);
Synapse s1 = cn.createSynapse(matchingSegmentOnSameCell, previousActiveCells[0], 0.3);
Synapse s2 = cn.createSynapse(matchingSegmentOnSameCell, previousActiveCells[1], 0.3);
DistalDendrite matchingSegmentOnOtherCell = cn.CreateDistalSegment(otherBurstingCell);
Synapse s3 = cn.createSynapse(matchingSegmentOnOtherCell, previousActiveCells[0], 0.3);
Synapse s4 = cn.createSynapse(matchingSegmentOnOtherCell, previousActiveCells[1], 0.3);
ComputeCycle cc = tm.Compute(previousActiveColumns, true) as ComputeCycle;
Assert.IsTrue(cc.predictiveCells.SequenceEqual(expectedActiveCells));
tm.Compute(activeColumns, true);
Assert.AreEqual(0.3, s1.getPermanence(), 0.01);
Assert.AreEqual(0.3, s2.getPermanence(), 0.01);
Assert.AreEqual(0.3, s3.getPermanence(), 0.01);
Assert.AreEqual(0.3, s4.getPermanence(), 0.01);
}
public void testPunishMatchingSegmentsInInactiveColumns()
{
TemporalMemory tm = new TemporalMemory();
Connections cn = new Connections();
Parameters p = getDefaultParameters(null, KEY.MAX_NEW_SYNAPSE_COUNT, 4);
p = getDefaultParameters(p, KEY.INITIAL_PERMANENCE, 0.2);
p = getDefaultParameters(p, KEY.PREDICTED_SEGMENT_DECREMENT, 0.02);
p.apply(cn);
tm.init(cn);
int[] prevActiveColumns = { 0 };
Cell[] prevActiveCells = { cn.getCell(0), cn.getCell(1), cn.getCell(2), cn.getCell(3) };
int[] activeColumns = { 1 };
Cell previousInactiveCell = cn.getCell(81);
DistalDendrite activeSegment = cn.CreateDistalSegment(cn.getCell(42));
Synapse as1 = cn.createSynapse(activeSegment, prevActiveCells[0], .5);
Synapse as2 = cn.createSynapse(activeSegment, prevActiveCells[1], .5);
Synapse as3 = cn.createSynapse(activeSegment, prevActiveCells[2], .5);
Synapse is1 = cn.createSynapse(activeSegment, previousInactiveCell, .5);
DistalDendrite matchingSegment = cn.CreateDistalSegment(cn.getCell(43));
Synapse as4 = cn.createSynapse(matchingSegment, prevActiveCells[0], .5);
Synapse as5 = cn.createSynapse(matchingSegment, prevActiveCells[1], .5);
Synapse is2 = cn.createSynapse(matchingSegment, previousInactiveCell, .5);
tm.Compute(prevActiveColumns, true);
tm.Compute(activeColumns, true);
Assert.AreEqual(0.48, as1.getPermanence(), 0.01);
Assert.AreEqual(0.48, as2.getPermanence(), 0.01);
Assert.AreEqual(0.48, as3.getPermanence(), 0.01);
Assert.AreEqual(0.48, as4.getPermanence(), 0.01);
Assert.AreEqual(0.48, as5.getPermanence(), 0.01);
Assert.AreEqual(0.50, is1.getPermanence(), 0.01);
Assert.AreEqual(0.50, is2.getPermanence(), 0.01);
}
