An information theoretic measure of cross-frequency coupling

Mutual Information in Frequency and its Application to Measure Cross-Frequency Coupling in Epilepsy

We define a metric, mutual information in frequency (MI-in-frequency), to detect and quantify the statistical dependence between different frequency components in the data, referred to as cross-frequency coupling and apply it to electrophysiological recordings from the brain to infer crossfrequency coupling. The current metrics used to quantify the cross-frequency coupling in neuroscience canno...

An Information Theoretic Measure for Robot Expressivity

This paper presents a principled way to think about articulated movement for artificial agents and a measurement of platforms that produce such movement. In particular, in human-facing scenarios, the shape evolution of robotic platforms will become essential in creating systems that integrate – and communicate – with human counterparts. This paper provides a tool to measure the expressive capac...

Quantization with an Information-Theoretic Distortion Measure

An Information-Theoretic External Cluster-Validity Measure

In this paper we propose a measure of sim­ ilarity /association between two partitions of a set of objects. Our motivation is the desire to use the measure to characterize the quality or accuracy of clustering algorithms by some­ how comparing the clusters they produce with "ground truth" consisting of classes as­ signed by manual means or some other means in whose veracity there is confidence....

An Information Theoretic Measure of Sequence Recognition Performance Idiap-com 02-03 an Information Theoretic Measure of Sequence Recognition Performance

Sequence recognition performance is often summarised first in terms of the number of hits (H), substitutions (S), deletions (D) and insertions (I), and then as a single statistic by the “word error rate” WER = 100(S+D+I)/(H+S+D). While in common use, WER has two disadvantages as a performance measure. One is that it has no upper bound, so it doesn’t tell you how good a system is, only that one ...