mirror of https://github.com/jlizier/jidt
Changing spiking TE code to return all embeddings with the local TE contributions at each spike
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@ -101,7 +101,7 @@ public class TransferEntropyCalculatorSpikingIntegration implements TransferEntr
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protected KdTree kdTreeConditioningAtSamples = null;
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// Cache these to return with the local values:
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protected double[] timeToPreviousRelevantSourceSpikes;
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protected double[][] arrayedJointEmbeddingsFromSpikes;
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public static final String KNNS_PROP_NAME = "Knns";
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@ -418,14 +418,12 @@ public class TransferEntropyCalculatorSpikingIntegration implements TransferEntr
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// Convert the vectors to arrays so that they can be put in the trees
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// Embeddings from target spikes:
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double[][] arrayedTargetEmbeddingsFromSpikes = new double[conditioningEmbeddingsFromSpikes.size()][numDestPastIntervals + numCondPastIntervals];
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double[][] arrayedJointEmbeddingsFromSpikes = new double[conditioningEmbeddingsFromSpikes.size()][numDestPastIntervals +
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arrayedJointEmbeddingsFromSpikes = new double[conditioningEmbeddingsFromSpikes.size()][numDestPastIntervals +
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numCondPastIntervals + numSourcePastIntervals];
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for (int i = 0; i < conditioningEmbeddingsFromSpikes.size(); i++) {
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arrayedTargetEmbeddingsFromSpikes[i] = conditioningEmbeddingsFromSpikes.elementAt(i);
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arrayedJointEmbeddingsFromSpikes[i] = jointEmbeddingsFromSpikes.elementAt(i);
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}
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// Store locally the lag times from most recent relevant source spike for each target spike, for later return with locals:
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timeToPreviousRelevantSourceSpikes = MatrixUtils.selectColumn(arrayedJointEmbeddingsFromSpikes, numDestPastIntervals + numCondPastIntervals);
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// Sample points:
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double[][] arrayedTargetEmbeddingsFromSamples = new double[conditioningEmbeddingsFromSamples.size()][numDestPastIntervals + numCondPastIntervals];
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double[][] arrayedJointEmbeddingsFromSamples = new double[conditioningEmbeddingsFromSamples.size()][numDestPastIntervals +
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@ -967,15 +965,16 @@ public class TransferEntropyCalculatorSpikingIntegration implements TransferEntr
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// Data structure to return local values from this estimator
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public class SpikingTELocalValues implements SpikingLocalInformationValues {
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public double[] contributionsAtEachSpike;
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public double[] timeToMostRecentSourceSpike;
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public double[] contributionsAtEachSpike; // Will have zeros for the spikes which are part of the first embedding
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public double[][] jointEmbeddingsAtSpikes; // Rows here correspond to each target spike we computed a local TE for.
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// First numDestPastIntervals columns are for the target embedded ISIs,
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// next numCondPastIntervals columns are for any ISIs relevant to conditional variables,
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// and last numSourcePastIntervals columns are for the ISIs relevant to the source spikes
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public SpikingTELocalValues(double[] contributionsAtEachSpike) {
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this.contributionsAtEachSpike = contributionsAtEachSpike;
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int numTargetSpikesToSkip = MatrixUtils.max(destPastIntervals);
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this.timeToMostRecentSourceSpike = new double[numTargetSpikesToSkip + timeToPreviousRelevantSourceSpikes.length];
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System.arraycopy(timeToPreviousRelevantSourceSpikes, 0, this.timeToMostRecentSourceSpike, numTargetSpikesToSkip,
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timeToPreviousRelevantSourceSpikes.length);
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// int numTargetSpikesToSkip = MatrixUtils.max(destPastIntervals);
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this.jointEmbeddingsAtSpikes = arrayedJointEmbeddingsFromSpikes;
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}
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}
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