The nematode worm C. elegans chooses between bacterial foods as if maximizing economic utility

In value -based decision making, options are selected according to subjective values assigned by the individual to available goods and actions. Despite the importance of this faculty of the mind, the neural mechanisms of value assignments, and how choices are directed by them, remain obscure. To investigate this problem, we used a classic measure of utility maximization, the Generalized Axiom of Revealed Preference, to quantify internal consistency of food preferences in Caenorhabditis elegans, a nematode worm with a nervous system of only 302 neurons. Using a novel combination of microfluidics and electrophysiology, we found that C. elegans food choices fulfill the necessary and sufficient conditions for utility maximization, indicating that nematodes behave as if they maintain, and attempt to maximize, an underlying representation of subjective value. Food choices are well -fit by a utility function widely used to model human consumers. Moreover, as in many other animals, subjective values in C. elegans are learned, a process we find requires intact dopamine signaling. Differential responses of identified chemosensory neurons to foods with distinct growth potentials are amplified by prior consumption of these foods, suggesting that these neurons may be part of a value-assignment system. The demonstration of utility maximization in an organism with a very small nervous system sets a new lower bound on the computational requirements for utility maximization and offers the prospect of an essentially complete explanation of value -based decision making at single neuron resolution in this organism.

Automated summary

In value-based decision making, individuals select options based on subjective values. By studying food preferences in the nematode C. elegans, researchers found that the worms exhibit utility maximization, indicating that they maintain a representation of subjective value. This value is learned and requires intact dopamine signaling. The findings provide insights into the computational requirements for utility maximization and offer a complete explanation of value-based decision making at the resolution of single neurons in this organism.