A Progressive Ratio Task with Costly Resets Reveals Adaptive Effort-Delay Trade-Offs.
A single reset lever turns the old progressive-ratio test into a window on flexible, foraging-style choices.
01Research in Context
What this study did
The team built a new lever task for rats. Animals pressed one lever for sugar pellets. Every pellet made the next ratio bigger. A second lever let them reset the ratio back to easy, but it cost one pellet.
The rats chose: keep pressing the rising ratio, or pay to start over. The setup turns a classic progressive-ratio test into a mini foraging patch.
What they found
Rats hit the reset lever on purpose. They cut long bouts short and started fresh. Their average bout length landed close to the reward-rate sweet spot.
They still stayed a little too long, like animals in the wild that overharvest. The costly reset revealed flexible, goal-directed control that normal breakpoint scores miss.
How this fits with other research
Gilroy et al. (2021) mapped how fast work drops when ratios climb. The new task adds a reset button, showing rats do more than slow down—they jump ship at the right moment.
Matson et al. (1994) showed that old reinforcement histories fade fast on plain progressive-ratio schedules. The reset lever gives the rat a new tool, so history effects may wash out even quicker.
Lord et al. (1997) made rats "travel" between patches by walking or pressing levers. Both studies find similar stay-times, but the reset lever keeps the animal in one spot, making the lab task simpler.
Why it matters
Standard PR tests only tell you when the subject quits. The reset version shows when they choose to start over, giving a cleaner picture of effort valuation. You can borrow the idea: add a brief, costly reset option to your own progressive-ratio probe. Watch if clients re-start work after a short break—it may reveal stronger motivation than breakpoint alone.
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02At a glance
03Original abstract
The progressive ratio (PR) schedule is a popular test of motivation. Despite its popularity, the PR task hinges on a low-dimensional behavioral readout-breakpoint or the maximum work requirement subjects are willing to complete before abandoning the task. Here, we show that with a simple modification, the PR task can be transformed into an optimization problem reminiscent of the patch-leaving foraging scenario, which has been analyzed extensively by behavioral ecologists, psychologists, and neuroscientists. In the PR with reset (PRR) task, male and female rats performed the PR task on one lever but could press a second lever to reset the current ratio requirement back to its lowest value at the cost of enduring a reset delay, during which both levers were retracted. Rats used the reset lever adaptively on the PRR task, and their ratio reset decisions were sensitive to the cost of the reset delay. We derived an approach for computing the optimal bout length-the number of rewards to earn before pressing the reset lever that produces the greatest long-term rate of reward-and found that rats flexibly changed their behavior to approximate the optimal strategy. However, rats showed a systematic bias for bout lengths that exceeded the optimal length, an effect reminiscent of "overharvesting" in patch-leaving tasks. The PRR task thus represents a novel means of testing how rats adapt to the cost-benefit structure of the environment in a way that connects deeply to the broader literature on associative learning and optimal foraging theory.
, 2025 · doi:10.1523/eneuro.0258-25.2025