Perception and perceptual decision-making are strongly facilitated by prior knowledge about
the probabilistic structure of the world. While the computational benefits of using prior …

This review considers computational psychiatry from a particular viewpoint: namely, a
commitment to explaining psychopathology in terms of pathophysiology. It rests on the …

The first comprehensive treatment of active inference, an integrative perspective on brain,
cognition, and behavior used across multiple disciplines. Active inference is a way of …

Unsupervised learning with generative models has the potential of discovering rich
representations of 3D scenes. While geometric deep learning has explored 3D-structure …

Regression-based methods for 3D human pose estimation directly predict the 3D pose
parameters from a 2D image using deep networks. While achieving state-of-the-art …

We marry two powerful ideas: deep representation learning for visual recognition and
language understanding, and symbolic program execution for reasoning. Our neural …

Acoustic data provide scientific and engineering insights in fields ranging from biology and
communications to ocean and Earth science. We survey the recent advances and …

Hallucinations, perceptions in the absence of objectively identifiable stimuli, illustrate the
constructive nature of perception. Here, we highlight the role of prior beliefs as a critical …

Although DALL-E has shown an impressive ability of composition-based systematic
generalization in image generation, it requires the dataset of text-image pairs and the …

Seeing the interactions between other people is a critical part of our everyday visual
experience, but recognizing the social interactions of others is often considered outside the …