We present a dynamic model of memory that integrates the processes of perception,
retrieval from knowledge, retrieval of events, and decision making as these evolve from 1 …

Although executive control and automatic behavior have often been considered separate
and distinct processes, there is strong emerging and convergent evidence that they may in …

The prominence of Bayesian modeling of cognition has increased recently largely because
of mathematical advances in specifying and deriving predictions from complex probabilistic …

Semantic priming has been a focus of research in the cognitive sciences for more than thirty
years and is commonly used as a tool for investigating other aspects of perception and …

Human perception and memory are often explained as optimal statistical inferences that are
informed by accurate prior probabilities. In contrast, cognitive judgments are usually viewed …

Visual stimuli may remain invisible but nevertheless produce strong and reliable effects on
subsequent actions. How well features of a masked prime are perceived depends crucially …

In 1977, Higgins, Rholes, and Jones invited participants to an experiment that consisted of
two apparently unrelated studies. The first study was a Stroop color-naming task, for part of …

Implicit learning and syntactic persistence: Surprisal and Cumulativity Page 1 Implicit learning
and syntactic persistence: Surprisal and Cumulativity ∗ T. Florian Jaeger Brain and Cognitive …

The authors argue that perception is Bayesian inference based on accumulation of noisy
evidence and that, in masked priming, the perceptual system is tricked into treating the prime …

We describe a formal framework for analyzing how statistical properties of natural
environments and the process of natural selection interact to determine the design of …