A schema refers to a structured body of prior knowledge that captures common patterns
across related experiences. Schemas have been studied separately in the realms of …

Pattern separation, or the process by which highly similar stimuli or experiences in memory
are represented by non-overlap** neural ensembles, has typically been ascribed to …

Biological and artificial information processing systems form representations that they can
use to categorize, reason, plan, navigate, and make decisions. How can we measure the …

Similarity and categorization are fundamental processes in human cognition that help
complex organisms make sense of the cacophony of information in their environment. These …

Over the past decade, episodic memory has been reconceptualised as future-oriented. In
2007, Schacter and I proposed the 'constructive episodic simulation hypothesis' to account …

What are the principles that govern whether neural representations move apart
(differentiate) or together (integrate) as a function of learning? According to supervised …

Abstract Concepts organize our experiences and allow for meaningful inferences in novel
situations. Acquiring new concepts requires extracting regularities across multiple learning …

The central theme of this review is the dynamic interaction between information selection
and learning. We pose a fundamental question about this interaction: How do we learn what …

Behavioral flexibility depends on our capacity to build and leverage abstract knowledge
about tasks. Recently, two separate lines of research have implicated distinct brain networks …

Prefrontal cortex (PFC) is thought to support the ability to focus on goal-relevant information
by filtering out irrelevant information, a process akin to dimensionality reduction. Here, we …