AI Article Synopsis
- Animals exhibit flexible behaviors to meet their basic needs, but how they prioritize these needs when they conflict is not well understood.
- Researchers studied this by observing hungry and thirsty mice making choices between food and water, discovering that they strategize their choices through structured bouts and random transitions.
- High-density recordings of neuronal activity revealed that a persistent internal goal state influences their choices, and a mathematical model helps explain how their needs fluctuate and how this affects decision-making over time.
Article Abstract
Animals perform flexible goal-directed behaviours to satisfy their basic physiological needs. However, little is known about how unitary behaviours are chosen under conflicting needs. Here we reveal principles by which the brain resolves such conflicts between needs across time. We developed an experimental paradigm in which a hungry and thirsty mouse is given free choices between equidistant food and water. We found that mice collect need-appropriate rewards by structuring their choices into persistent bouts with stochastic transitions. High-density electrophysiological recordings during this behaviour revealed distributed single neuron and neuronal population correlates of a persistent internal goal state guiding future choices of the mouse. We captured these phenomena with a mathematical model describing a global need state that noisily diffuses across a shifting energy landscape. Model simulations successfully predicted behavioural and neural data, including population neural dynamics before choice transitions and in response to optogenetic thirst stimulation. These results provide a general framework for resolving conflicts between needs across time, rooted in the emergent properties of need-dependent state persistence and noise-driven shifts between behavioural goals.
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|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10651489 | PMC |
| http://dx.doi.org/10.1038/s41586-023-06715-z | DOI Listing |
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