Realistic, everyday rewards contain multiple components. An apple has taste and size. However, we choose along a single dimension, preferring some apples more or less than others. Likewise, reward signals in individual neurons vary along a single dimension; they are higher or lower. Using...

Realistic, everyday rewards contain multiple components. An apple has taste and size. However, we choose in single dimensions, simply preferring some apples to others. How can such single-dimensional preference relationships refer to multi-component choice options? Here, we measured how...

Rewarding choice options typically contain multiple components, but neural signals in single brain voxels are scalar and primarily vary up or down. In a previous study, we had designed reward bundles that contained the same two milkshakes with independently set amounts; we had used psychophysics...