In this Review, we describe the singular success of attractor neural network models in
describing how the brain maintains persistent activity states for working memory, corrects …

Uncertainty is an intrinsic part of life; most events, affairs, and questions are uncertain. A key
problem in behavioral sciences is how the mind copes with uncertain information. Quantum …

Humans are remarkably limited in:(i) how many control-dependent tasks they can execute
simultaneously, and (ii) how intensely they can focus on a single task. These limitations are …

The dominant paradigm for inference in psychology is a null-hypothesis significance testing
one. Recently, the foundations of this paradigm have been shaken by several notable …

There is growing interest in diffusion models to represent the cognitive and neural processes
of speeded decision making. Sequential-sampling models like the diffusion model have a …

Random walks are ubiquitous in the sciences, and they are interesting from both theoretical
and practical perspectives. They are one of the most fundamental types of stochastic …

Most research in cognitive neuroscience explores how external stimuli are processed by the
brain. However, the brain also receives input from the internal body. We discuss here how …

Rewards are crucial objects that induce learning, approach behavior, choices, and
emotions. Whereas emotions are difficult to investigate in animals, the learning function is …

Abstract Markov Chain Monte–Carlo (MCMC) is an increasingly popular method for
obtaining information about distributions, especially for estimating posterior distributions in …

In psychological experiments, participants are typically instructed to respond as fast as
possible without sacrificing accuracy. How they interpret this instruction and, consequently …