Detecting causality in Plant electrical signal by a hybrid causal analysis approach
Abstract
At present, multi-electrode array (MEA) approach and optical recording allow us to acquire plant electrical activity with higher spatio-temporal resolution. To understand the dynamic information flow of the electrical signaling system and estimate the effective connectivity, we proposed a solution to combine the two casualty analysis approaches, i.e. Granger causality and transfer entropy, which they complement each other to measure dynamics effective connectivity of the complex system. Our findings in three qualitatively different levels of plant bioelectrical activities revealed direction of information flow and dynamic complex causal connectives by using the two causal analysis approaches, especially indicated that the direction of information flow is not only along the longitudinal section but also spreading in transection.
Keywords
Cite
@article{arxiv.1703.10677,
title = {Detecting causality in Plant electrical signal by a hybrid causal analysis approach},
author = {Yang Chen and Dong-Jie Zhao and Chao Song and Wei-He Liu and Zi-Yang Wang and Zhong-Yi Wang and Guiliang Tang and Lan Huang},
journal= {arXiv preprint arXiv:1703.10677},
year = {2017}
}
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12 figures