Neural similarity between choice options predicts group-level context effects (opens in new tab)
Choices are affected by the context of available alternatives, a phenomenon termed choice context effects. Current models of context effects require options to be described by two explicit numerical attributes. However, decision-makers might represent these options by additional latent attributes, which are hard to define a-priori. We propose to use participants’ neural representations to access the full attribute set they consider and predict context effects without modelling any explicit at...
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