Behavior-related neuronal signals often vary between neurons, which might reflect the
unreliability of individual neurons or a truly heterogeneous code. This notion may also apply …

Individual survival and evolutionary selection require biological organisms to maximize
reward. Economic choice theories define the necessary and sufficient conditions, and …

The dorsal raphe nucleus (DRN) is implicated in psychiatric disorders that feature impaired
sensitivity to reward amount, impulsivity when facing reward delays, and risk-seeking when …

Since the discovery of cognitive maps in rodent hippocampus (HC), the cognitive map has
evolved from originally referring to spatial representations encoding locations and objects in …

Prospect theory, arguably the most prominent theory of choice, is an obvious candidate for
neural valuation models. How the activity of individual neurons, a possible computational …

Logistic regressions were developed in economics to model individual choice behavior. In
recent years, they have become an important tool in decision neuroscience. Here, I describe …

Abstract Expected Utility Theory (EUT) provides axioms for maximizing utility in risky choice.
The Independence Axiom (IA) is its most demanding axiom: preferences between two …

Automotive is becoming more and more sensor-equipped. Collision avoidance, lane
departure warning, and self-parking are examples of applications becoming possible with …

Research in the multidisciplinary field of neuroeconomics has mainly been driven by two
influential theories regarding human economic choice: prospect theory, which describes …

The value of visual stimuli guides learning, decision-making and motivation. Although
stimulus values often depend on multiple attributes, how neurons extract and integrate …