Recent advancements in cognitive neuroscience have afforded a description of neural
responses in terms of latent algorithmic operations. However, the adoption of this approach …

Successful goal-directed behavior requires not only correct action selection, planning, and
execution but also the ability to flexibly adapt behavior when performance problems occur or …

Evidence from imaging and anatomical studies suggests that the midcingulate cortex (MCC)
is a dynamic hub lying at the interface of affect and cognition. In particular, this neural system …

Economic approaches to decision making assume that people attach values to prospective
goods and act to maximize their obtained value. Neuroeconomics strives to observe these …

To behave adaptively, we must learn from the consequences of our actions. Studies using
event-related potentials (ERPs) have been informative with respect to the question of how …

Abstract Changes in response contingencies require adjusting ones assumptions about
outcomes of behaviors. Such adaptation processes are driven by reward prediction error …

In order to control behavior in an adaptive manner the brain has to learn how some
situations and actions predict positive or negative outcomes. During the last decade …

Abstract The United States National Institute of Mental Health has recently promoted the
Research Domain Criteria framework, which emphasizes the study of neurocognitive …

In order to understand the exploitation/exploration trade-off in reinforcement learning,
previous theoretical and empirical accounts have suggested that increased uncertainty may …

Pavlovian biases influence learning and decision making by intricately coupling reward
seeking with action invigoration and punishment avoidance with action suppression. This …