Learning and interpreting the structure of the environment is an innate feature of biological
systems, and is integral to guiding flexible behaviors for evolutionary viability. The concept of …

Brains at rest generate dynamical activity that is highly structured in space and time. We
suggest that spontaneous activity, as in rest or dreaming, underlies top-down dynamics of …

Creating autonomous robots that can actively explore the environment, acquire knowledge
and learn skills continuously is the ultimate achievement envisioned in cognitive and …

Prominent accounts of sentient behavior depict brains as generative models of organismic
interaction with the world, evincing intriguing similarities with current advances in generative …

This paper concerns the distributed intelligence or federated inference that emerges under
belief-sharing among agents who share a common world—and world model. Imagine, for …

Human reasoning depends on reusing pieces of information by putting them together in new
ways. However, very little is known about how compositional computation is implemented in …

This review paper offers an overview of the history and future of active inference—a unifying
perspective on action and perception. Active inference is based upon the idea that sentient …

Healthcare organizations have realized that Artificial intelligence (AI) can provide a
competitive edge through personalized patient experiences, improved patient outcomes …

Memory reactivations and replay, widely reported in the hippocampus and cortex across
species, have been implicated in memory consolidation, planning, and spatial and skill …

Experience-related brain activity patterns reactivate during sleep, wakeful rest, and brief
pauses from active behavior. In parallel, machine learning research has found that …