We test whether self-control causally affects investor behavior with the non-invasive brain stimulation. Subjects trade stocks in an experimental asset market while their levels of self-control are exogenously varied by applying weak currents stimulation to a control-related brain area. We...

We propose a systematic way for constructing a neuronal model that produces spatiotemporal behavior of the type observed in locus olfaction. We solve the problem within the framework of a dynamic neural filter (DNF), a recurrent network that operates under constant inputs. Our system includes:...

We provide an axiomatic foundation for a class of neural-network models applied to decision-making under risk, called neural-network expected utility (NEU) models. Motivated by classic experimental findings, we weaken the independence axiom in a novel way. We show how to use simple neurons,...