Within neuroscience there is a clear interest in developing computational models to explain
neural systems and behavior. This is seen in many disciplines, such as working memory …

Within neuroscience there is a clear interest in developing computational models to explain
neural 38 systems and behavior. This is seen in many disciplines, such as working memory …

The human brain is constantly exposed to variable sensory information about the
surrounding environment. How does the brain integrate this information to make reliable …

Scientists who study cognition infer underlying processes either by observing behavior (eg,
response times, percentage correct) or by observing neural activity (eg, the BOLD …

For an individual to successfully complete the task of decision-making, a set of temporally-
organized events must occur: stimuli must be detected, potential outcomes must be …

The human brain effortlessly solves problems that still pose a challenge for modern
computers, such as recognizing patterns in natural images. Many of these problems can be …

Probabilistic models of decision making under various forms of uncertainty have been
applied in recent years to numerous behavioral and model-based fMRI studies. These …

Cognitive behaviors originate in the responses of neuronal populations. We have a
reasonable understanding of how the activity of a single neuron can be related to a specific …

Adaptive behavior emerges through a dynamic interaction between cognitive agents and
changing environmental demands. The investigation of information processing underlying …

Postulating that the brain performs approximate Bayesian inference generates principled
and empirically testable models of neuronal function—the subject of much current interest in …