The property of mixed selectivity has been discussed at a computational level and offers a
strategy to maximize computational power by adding versatility to the functional role of each …

One major challenge of neuroscience is identifying structure in seemingly disorganized
neural activity. Different types of structure have different computational implications that can …

Social memory consists of two processes: the detection of familiar compared with novel
conspecifics and the detailed recollection of past social episodes. We investigated the …

Humans have the remarkable cognitive capacity to rapidly adapt to changing environments.
Central to this capacity is the ability to form high-level, abstract representations that take …

Animals likely use a variety of strategies to solve laboratory tasks. Traditionally, combined
analysis of behavioral and neural recording data across subjects employing different …

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

Social preference, the decision to interact with one member of the same species over
another, is critical to optimize social interactions. Thus, adult rodents favor interacting with …

The firing rates of individual neurons displaying mixed selectivity are modulated by multiple
task variables. When mixed selectivity is nonlinear, it confers an advantage by generating a …

Humans and other animals demonstrate a remarkable ability to generalize knowledge
across distinct contexts and objects during natural behavior. We posit that this ability to …

Attentional modulation of sensory processing is a key feature of cognition; however, its
neural circuit basis is poorly understood. A candidate mechanism is the disinhibition of …