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editing comment on how to implement dynamic correlation exclusions in spiking TE estimator

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Joseph Lizier 2022-09-05 14:43:18 +10:00 committed by GitHub
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java/source/infodynamics/measures/spiking/integration/TransferEntropyCalculatorSpikingIntegration.java
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@ -40,7 +40,8 @@ import infodynamics.utils.ParsedProperties;
* This implementation of the estimator does not implement dynamic exclusion windows. Such windows make sure
* that history embeddings that overlap are not considered in nearest-neighbour searches (as this breaks the
* independece assumption). Getting dynamic exclusion windows working will probably require modifications to the
* KdTree class.
* KdTree class (or may be do-able with existing KdTree class if excluding based on nearest target spikes
* rather than in terms of timing)
*/
public class TransferEntropyCalculatorSpikingIntegration implements TransferEntropyCalculatorSpiking {