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Measuring spectrally-resolved information transfer for sender- and receiver-specific frequencies
[article]
2020
bioRxiv
pre-print
Information transfer, measured by transfer entropy, is a key component of distributed computation. It is therefore important to understand the pattern of information transfer in order to unravel the distributed computational algorithms of a system. Since in many natural systems distributed computation is thought to rely on rhythmic processes a frequency resolved measure of information transfer is highly desirable. Here, we present a novel algorithm, and its efficient implementation, to identify
doi:10.1101/2020.02.08.939744
fatcat:gcnkwehgdbbf5l3vummsxzznl4