We assess whether a cardinal model can be used to relate neural observables to stochastic choice behaviour. We develop a general empirical framework for relating any neural observable to choice prediction, and propose a means of bench-marking their predictive power. In a previous study,...

We present a novel descriptive model of choice that achieves an efficient representation anchored to how the brain represents value. An individual's behavior is fully described by two primitives: an individual's "reward expectation'' and a free parameter we call "predisposition''. We demonstrate...