Ontology highlight
ABSTRACT:
SUBMITTER: Lynn CW
PROVIDER: S-EPMC7210268 | biostudies-literature | 2020 May
REPOSITORIES: biostudies-literature
Lynn Christopher W CW Kahn Ari E AE Nyema Nathaniel N Bassett Danielle S DS
Nature communications 20200508 1
Humans are adept at uncovering abstract associations in the world around them, yet the underlying mechanisms remain poorly understood. Intuitively, learning the higher-order structure of statistical relationships should involve complex mental processes. Here we propose an alternative perspective: that higher-order associations instead arise from natural errors in learning and memory. Using the free energy principle, which bridges information theory and Bayesian inference, we derive a maximum ent ...[more]