The Towers Foraging Park: A Flexible Naturalistic Framework to Study Learning, Decision-Making, and Motor Control in Freely Moving Mice

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Abstract

Despite growing incentives toward naturalistic approaches in behavioral neuroscience, very few laboratory tasks allow studying learning, decision-making, and motor control in ethologically relevant contexts. To address this gap, we introduce the Towers Foraging Park, an experimental paradigm that captures the exploration-exploitation tradeoff faced by animals when foraging in patchy environments. In this new task, freely moving mice harvest rewards along the walls of square towers (patch) by making quarter-turns around them (exploit) and alternating between towers (explore) according to experimenter-controlled contingencies (patches deplete and must be harvested in one direction). Within just a few foraging sessions, naive mice learned to perform quarter-turns selectively in the rewarded direction. They underharvested patches, consistent with risk aversion, and executed reward-directed turns with increasing vigor and decreasing trajectory variability, consistent with utility-based modulation of movements. When the harvest direction was reversed, mice shifted their directional preference; notably, trajectory variability of these newly rewarded quarter-turns decreased immediately, whereas their vigor increased gradually across sessions. Mice challenged with daily reversals of the harvest direction became quicker at shifting their directional preference, revealing meta-learning. When later tested in a highly uncertain foraging protocol, they outperformed animals trained under more stable contingencies. Altogether, this simple and low-cost task uncovered sophisticated learning dynamics, adaptive exploration-exploitation tradeoff and showed how changes in reward outcomes differentially shape movement speed and variability. The Towers Foraging Park adheres to FAIR principles, supports protocol variations, and is fully compatible with neurophysiological approaches, paving the way for deeper insights into the biological processes underlying adaptive behavior.

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