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Correlation in Neuronal Calcium Spiking: Quantification based on Empirical Mutual Information Rate
Such mutual information rate analysis could be used to identify signatures of neuronal behavior in large populations in normal and abnormal conditions.
Heterogeneity in Neuronal Calcium Spike Trains based on Empirical Distance
In response, we propose Hellinger distance measure based on empirical probabilities, which we show to be as accurate as existing techniques, yet faster to converge for synthetic as well as experimental spike trains.
Information Content in Neuronal Calcium Spike Trains: Entropy Rate Estimation based on Empirical Probabilities
Significantly, our technique detected structural heterogeneity in the underlying process memory in the responses of the aforementioned neurons.
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