Successful speech perception requires that listeners map the acoustic signal to linguistic
categories. These map**s are not only probabilistic, but change depending on the …

Replay in the brain has been viewed as rehearsal or, more recently, as sampling from a
transition model. Here, we propose a new hypothesis: that replay is able to implement a form …

Modeling human cognition is challenging because there are infinitely many mechanisms
that can generate any given observation. Some researchers address this by constraining the …

Recent progress in artificial intelligence has renewed interest in building systems that learn
and think like people. Many advances have come from using deep neural networks trained …

This article provides a synthesis and overview of a theory of cognitive development, rational
constructivism. The basic tenets of this view are as follows:(a) Initial state: Human infants …

Bayesian explanations have swept through cognitive science over the past two decades,
from intuitive physics and causal learning, to perception, motor control and language. Yet …

Recent studies of probabilistic reasoning have postulated general-purpose inference
algorithms that can be used to answer arbitrary queries. These algorithms are memoryless …

A Bayesian framework helps address, in computational terms, what knowledge children start
with and how they construct and adapt models of the world during childhood. Within this …

People's decisions and judgments are disproportionately swayed by improbable but
extreme eventualities, such as terrorism, that come to mind easily. This article explores …

For over 200 years, philosophers and mathematicians have be en using probability theory to
describe human cognition. While the theory of prob abilities was first developed as a means …