Understanding information processing in the brain—and creating general-purpose artificial
intelligence—are long-standing aspirations of scientists and engineers worldwide. The …

Cognitive maps are mental representations of spatial and conceptual relationships in an
environment, and are critical for flexible behavior. To form these abstract maps, the …

This paper aims to leverage the free-energy principle and active inference to make sense of
some central facets of the first-person conscious experience of human beings. More …

We advance a novel computational theory of the hippocampal formation as a hierarchical
generative model that organizes sequential experiences, such as rodent trajectories during …

It has been suggested that the thalamus acts as a blackboard, on which the computations of
different cortical modules are composed, coordinated, and integrated. This article asks what …

Although the latent spaces learned by distinct neural networks are not generally directly
comparable, even when model architecture and training data are held fixed, recent work in …

This study concerns an interdisciplinary theoretical analysis of the underlying ways the
depressed individual is related to the world. Specific aspects of this relation, namely time …

Cognitive maps are mental representations of spatial and conceptual relationships in an
environment. These maps are critical for flexible behavior as they permit us to navigate …

This chapter proposes a treatment of conscious experience based on a variational (free
energy) principle for sentient systems and its corollary, active inference. Active inference is a …

Although the latent spaces learned by distinct neural networks are not generally directly
comparable, even when model architecture and training data are held fixed, recent work in …