Sequential sampling models have provided a dominant theoretical framework guiding
computational and neurophysiological investigations of perceptual decision-making. While …

The discovery of neural signals that reflect the dynamics of perceptual decision formation
has had a considerable impact. Not only do such signals enable detailed investigations of …

To interact successfully with diverse sensory environments, we must adapt our decision
processes to account for time constraints and prior probabilities. The full set of decision …

We address two main challenges facing systems neuroscience today: understanding the
nature and function of cortical feedback between sensory areas and of correlated variability …

A decision is a commitment to a proposition among multiple options. Often this commitment
leads to a particular course of action. It might be said that the life of an organism consists of a …

The aim of statistical decision theories is to understand how evidence, prior knowledge, and
values lead an organism to commit to one of a number of alternatives. Two main statistical …

Decision-making behavior has been studied extensively, but the neurophysiological
mechanisms responsible for this remarkable cognitive ability are just beginning to be …

The study of decision making poses new methodological challenges for systems
neuroscience. Whereas our traditional approach linked neural activity to external variables …

Even for simple perceptual decisions, the mechanisms that the brain employs are still under
debate. Although current consensus states that the brain accumulates evidence extracted …

Perceptual decision making is the process by which animals detect, discriminate, and
categorize information from the senses. Over the past two decades, understanding how …