Unified framework for information integration based on information geometry
Proceedings of the National Academy of Sciences of the United States of America October 15, 2015 Masafumi Oizumi, Naotsugu Tsuchiya, S. Amari
Significance Measuring the degree of causal influences among multiple elements of a system is a fundamental problem in physics and biology. We propose a unified framework for quantifying any combination of causal relationships between elements in a hierarchical manner based on information geometry. Our measure of integration, called geometrical integrated information, quantifies the strength of...