Many tasks used to study decision-making encourage subjects to integrate evidence over
time. Such tasks are useful to understand how the brain operates on multiple samples of …

Perceptual decisions are based on the temporal integration of sensory evidence for different
states of the outside world. The timescale of this integration process varies widely across …

When multiple pieces of information bear on a decision, the best approach is to combine the
evidence provided by each one. Evidence integration models formalize the computations …

In the last decade, great progress has been made in characterizing the accumulation of
neural information during simple unitary perceptual decisions. However, much less is known …

Decisions are accompanied by a degree of confidence that a selected option is correct. A
sequential sampling framework explains the speed and accuracy of decisions and extends …

Perceptual choices depend not only on the current sensory input but also on the behavioral
context, such as the history of one's own choices. Yet, it remains unknown how such history …

We combine extant theories of evidence accumulation and multi-modal integration to
develop an integrated framework for modeling multimodal integration as a process that …

Decisions are often based on a combination of new evidence with prior knowledge of the
probable best choice. Optimal combination requires knowledge about the reliability of …

Perceptual decision-making is biased by previous events, including the history of preceding
choices: observers tend to repeat (or alternate) their judgments of the sensory environment …

Demanding tasks often require a series of decisions to reach a goal. Recent progress in
perceptual decision-making has served to unite decision accuracy, speed, and confidence …