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→Application on the brain nervous system
Observing EI, including [[sensitivity]] and [[degeneracy]] changes during model training, reveals the model's generalization ability and aids scholars in understanding neural networks.
Observing EI, including [[sensitivity]] and [[degeneracy]] changes during model training, reveals the model's generalization ability and aids scholars in understanding neural networks.
===Application on the brain nervous system===
===Application on brain nervous system===
The brain nervous system is an emergent multi-scale [[complex system]]. Luppi et al. <ref>Luppi AI, Mediano PA, Rosas FE, Allanson J, Pickard JD, Carhart-Harris RL, Williams GB, Craig MM, Finoia P, Owen AM, Naci L. A synergistic workspace for human consciousness revealed by integrated information decomposition. BioRxiv. 2020 Nov 26:2020-11.</ref> used [[integrated information decomposition]] to reveal the synergistic workspace of human [[consciousness]]. The authors constructed a three-layer architecture of brain cognition, including: external environment, specific modules and synergistic global space. The working principle of the brain mainly includes three stages: the first stage is responsible for collecting information from multiple different modules into the workspace; the second stage involves integrating the collected information within the workspace; the third stage focuses on broadcasting global information to other parts of the brain. The authors conducted experiments on three types of fMRI data in different resting states, including 100 normal people, 15 subjects participating in anesthesia experiments (including three different states before anesthesia, during anesthesia and recovery), and 22 subjects with chronic disorders of consciousness (DOC). This article uses [[integrated information decomposition]] to obtain [[synergistic information]] and [[redundant information]] It then employs the revised [[integrated information value]] <math>\Phi_R</math> to calculate the synergy and redundancy values between each two brain regions, determining whether each brain region plays a greater role is synergy or redundancy. By comparing the data of conscious individuals, they found that regions with significantly reduced [[integrated information]] in unconscious individuals corresponded to brain regions dominated by [[synergistic information]]. Meanwhile, these regions all belonged to functional regions such as DMN (Default Mode Network), allowing the authors to locate brain regions with a significant effect on the occurrence of consciousness.
The brain nervous system is an emergent multi-scale [[complex system]]. Luppi et al. <ref>Luppi AI, Mediano PA, Rosas FE, Allanson J, Pickard JD, Carhart-Harris RL, Williams GB, Craig MM, Finoia P, Owen AM, Naci L. A synergistic workspace for human consciousness revealed by integrated information decomposition. BioRxiv. 2020 Nov 26:2020-11.</ref> used [[integrated information decomposition]] to reveal the synergistic workspace of human [[consciousness]]. The authors constructed a three-layer architecture of brain cognition, including: external environment, specific modules and synergistic global space. The working principle of the brain mainly includes three stages: the first stage is responsible for collecting information from multiple different modules into the workspace; the second stage involves integrating the collected information within the workspace; the third stage focuses on broadcasting global information to other parts of the brain. The authors conducted experiments on three types of fMRI data in different resting states, including 100 normal people, 15 subjects participating in anesthesia experiments (including three different states before anesthesia, during anesthesia and recovery), and 22 subjects with chronic disorders of consciousness (DOC). This article uses [[integrated information decomposition]] to obtain [[synergistic information]] and [[redundant information]] It then employs the revised [[integrated information value]] <math>\Phi_R</math> to calculate the synergy and redundancy values between each two brain regions, determining whether each brain region plays a greater role is synergy or redundancy. By comparing the data of conscious individuals, they found that regions with significantly reduced [[integrated information]] in unconscious individuals corresponded to brain regions dominated by [[synergistic information]]. Meanwhile, these regions all belonged to functional regions such as DMN (Default Mode Network), allowing the authors to locate brain regions with a significant effect on the occurrence of consciousness.