Amanda Merkley

Analytically deriving Partial Information Decomposition for affine systems of stable and convolution-closed distributions

Bivariate partial information decomposition (PID) has emerged as a promising tool for analyzing interactions in complex systems, particularly in neuroscience. PID achieves this by decomposing the information that two sources (e.g., different brain regions) have about a target (e.g., a stimulus) into…