The curse of dimensionality plagues models of reinforcement learning and decision making.
The process of abstraction solves this by constructing variables describing features shared …

Naturalistic, dynamic movies evoke strong, consistent, and information-rich patterns of
activity over a broad expanse of cortex and engage multiple perceptual and cognitive …

Recognizing the people, objects, and actions in the world around us is a crucial aspect of
human perception that allows us to plan and act in our environment. Remarkably, our …

Spectacular progress in the information processing sciences (machine learning, wearable
sensors) promises to revolutionize the study of cognitive development. Here, we analyse the …

The recent success in human action recognition with deep learning methods mostly adopt
the supervised learning paradigm, which requires significant amount of manually labeled …

In this work, we address the problem of action recognition in a multi-view environment. Most
of the existing approaches utilize pose information for multi-view action recognition. We …

Predictive maintenance, as one of the core components of Industry 4.0, takes a proactive
approach to maintain machines and systems in good order to keep downtime to a minimum …

Humans observe actions performed by others in many different visual and social settings.
What features do we extract and attend when we view such complex scenes, and how are …

Humans observe a wide range of actions in their surroundings. How is the visual cortex
organized to process this diverse input? Using functional neuroimaging, we measured brain …

Many actions have instrumental aims, in which we move our bodies to achieve a physical
outcome in the environment. However, we also perform actions with epistemic aims, in …