Sources of predictive information in dynamical neural networks.

ABSTRACT: Behavior involves the ongoing interaction between an organism and its environment. One of the prevailing theories of adaptive behavior is that organisms are constantly making predictions about their future environmental stimuli. However, how they acquire that predictive information is still poorly understood. Two complementary mechanisms have been proposed: predictions are generated from an agent's internal model of the world or predictions are extracted directly from the environmental stimulus. In this work, we demonstrate that predictive information, measured using bivariate mutual information, cannot distinguish between these two kinds of systems. Furthermore, we show that predictive information cannot distinguish between organisms that are adapted to their environments and random dynam

SUBMITTER: Candadai M 

PROVIDER: S-EPMC7547683 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature