Dino J. Levy

This study uses EEG and deep learning to predict consumer valuation and preferences after watching commercials, showing better accuracy than standard EEG measures.

This study investigates whether facial preferences can be influenced by context, finding that adding a decoy face increases selection of a target face by up to 7%.

The paper predicts group-level context effects in choices using neural similarity between options, outperforming traditional methods that rely on explicit attributes.

The paper investigates how attention influences multi-attribute decision-making in monkeys by analyzing neural activity in the pre-supplementary motor area.

This study investigates decision-making under uncertainty by measuring overt attention and comparing models to predict choices in simple and complex tasks.

This study identifies two neural sources of noise contributing to inconsistent choice behavior through behavioral and neuroimaging analyses.

This study investigates how self- and other-regarding motives independently influence dishonesty and identifies distinct neural networks associated with each motive.

This study tests the Independence of Irrelevant Alternatives in C. elegans using olfactory chemotaxis assays, showing that neuronal constraints can lead to bounded rationality.

The paper shows that low-level visual features influence preferences for different item categories, with varying contributions depending on item type and measurement method.