Keywordsmutual information; redundancy; synergy; pointwise; local; surprisal; partial information decomposition; interaction information; co-information; information decomposition; multivariate mutual information; left monotonicity; Blackwell order; information dynamics; information transfer; multiscale entropy; multivariate time series analysis; redundancy and synergy; state space models; vector autoregressive models; information theory; information decomposition; redundancy; synergy; multivariate dependencies; embodied artificial intelligence; synergistic information; information theory; morphological computation; complexity; information integration; Mutual information; partial information decomposition; net synergy; Langevin equation; partial information decomposition; neural networks; information theory; information theory; partial information decomposition; neural computation; neural development; self-organisation; Channel preorders; Blackwell order; degradation order; garbling; more capable; coarse-graining; partial information decomposition; bivariate information decomposition; applications of convex optimization; stochastic process; transfer entropy; causation entropy; partial information decomposition; network science; information theory; partial information decomposition; entropic information decomposition; synergy; redundancy; contextual modulation; neural information processing; information decomposition; partial information lattice; shared information; secret sharing; information theory; partial information decomposition; Ising model; cellular automata; mutual information; pointwise information; information decomposition; unique information; redundant information; complementary information; redundancy; synergy; mutual information; information decomposition; unique information; redundant information; complementary information; redundancy; synergy
