Efficient coding in the economics of human brain connectomics.

ABSTRACT: In systems neuroscience, most models posit that brain regions communicate information under constraints of efficiency. Yet, evidence for efficient communication in structural brain networks characterized by hierarchical organization and highly connected hubs remains sparse. The principle of efficient coding proposes that the brain transmits maximal information in a metabolically economical or compressed form to improve future behavior. To determine how structural connectivity supports efficient coding, we develop a theory specifying minimum rates of message transmission between brain regions to achieve an expected fidelity, and we test five predictions from the theory based on random walk communication dynamics. In doing so, we introduce the metric of compression efficiency, which quantifi

SUBMITTER: Zhou D 

PROVIDER: S-EPMC9810280 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature