Toward a neuro-developmental theory of decision attribute weighting

Abstract

In previous work, several results on rapid real-time decisions from description were simulated using a neural network model including analogs of orbitofrontal cortex, amygdala, anterior cingulate, and striatum [1, 2]. This model marries adaptive resonance theory and fuzzy trace theory to develop categories that selectively weight numerical and qualitative attributes of linguistically presented options. But how do those weights develop over time? I propose a theory including interacting memory systems in the hippocampus and cortex and the neurotransmitters acetylcholine and dopamine for how context influences development of attribute weights.

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