Executive Function

Probabilistic Reversal Learning Task

Measure reward learning and flexibility as the better of two symbols switches, with points shown after each choice.

Useful for reinforcement learning, set shifting, cognitive flexibility, and intervention studies.

Free to start: 10 free participants per account, then $0.99 per participant for academic research, or any yearly plan. Preview any test free after you sign up.

Executive function4-6 minUntimed
A
Win
B
Lose
Contingency reversed
A now worseB now better
Flexible updating
Learn reward patterns as they reverse

What this task measures

Measures reward learning and flexibility when the better of two symbols switches without warning.

Core constructs

  • Reward learning
  • Cognitive flexibility
  • Perseveration
  • Feedback sensitivity

Research fit

  • Reinforcement-learning research
  • Cognitive flexibility studies
  • Psychiatric and neurological research batteries
  • Within-study group comparison

Paradigm overview

Probabilistic Reversal Learning measures how people learn from rewards and adjust when the rewarded choice changes. On each trial, participants choose one of two abstract symbols and then see whether they won 10 points.

The better symbol pays on 8 of every 10 trials and the other symbol on 2 of every 10, so some feedback is misleading. When 8 of the last 10 choices pick the better symbol, the two symbols switch roles without warning. If that does not happen within 40 trials, the roles switch anyway. Symbol sides change at random from trial to trial. The reward schedule comes from a seeded generator and is saved with the trial data.

Scores include trials to the first learning criterion, reversals completed, reversal errors, perseverative errors, and win-stay and lose-shift rates.

Key scoring outputs

Perseverative Errors

count

After each reversal that followed a reached criterion, repeated choices of the previously better symbol before the first switch. The first trial after a reversal is not counted.

Lower is better

Trials to Criterion

trials

Trials until 8 of the last 10 choices first picked the better symbol.

Lower means faster learning

Reversals Completed

count

Times the participant reached the learning criterion again after a reversal.

Higher is better

Reversal Errors

count

Choices of the worse symbol after the first reversal.

Lower is better

Win-Stay Rate

proportion

Share of trials after a win on which the participant chose the same symbol again.

Informational

Lose-Shift Rate

proportion

Share of trials after no win on which the participant switched symbols.

Informational

Task design as built

The trial sequence participants see, as the test runs in ConductCognition. Settings a researcher can change are listed below.

Symbols
Two abstract symbols whose sides change at random on every trial.
Rewards
The better symbol pays 10 points on 8 of every 10 trials, the other on 2 of every 10.
Feedback
+10 points or No points for 1 second, with the running total.
Reversal
When 8 of the last 10 choices pick the better symbol, or after 40 trials in a phase.

Running this test

Settings you can change

SettingStandardAllowed
Number of trials9060 to 150

Yearly plans can change settings within these limits. Free and pay-as-you-go studies use the standard settings.

How test settings work

Need a setting this test does not have?

Devices and languages

  • Untimed test: runs on desktops, laptops, tablets and phones. Participant devices
  • Task text: English and Italian.
  • Available on: Every plan, including the free plan.
  • Recruiting online? See the setup guides for Prolific, Sona Systems, CloudResearch Connect and Qualtrics.

Cite this test

ConductCognition versions: task version 2.0.0, scoring version 2.0.0. Every export records the versions each session used, for a methods section.

  • Cools, R., Clark, L., Owen, A. M., & Robbins, T. W. (2002). Defining the neural mechanisms of probabilistic reversal learning using event-related functional magnetic resonance imaging. Journal of Neuroscience, 22(11), 4563-4567. https://doi.org/10.1523/JNEUROSCI.22-11-04563.2002

Source papers

Cools, Clark, Owen and Robbins (2002): probabilistic reversal learning with abstract patterns, randomized sides and reversal errors.

Paradigm sourceAdults

Research FAQ

Common questions about this online cognitive test

How long does the Probabilistic Reversal Learning Task take?

About 4 to 6 minutes, as listed in the test library.

What device does a participant need?

Untimed test: runs on desktops, laptops, tablets and phones. The browser must be Chrome, Edge, Firefox or Safari.

What scores does it produce?

Perseverative Errors, Trials to Criterion, Reversals Completed, Reversal Errors, Win-Stay Rate and Lose-Shift Rate. Each session is also marked valid, needs review or invalid, with the reason.

Which settings can a researcher change?

Number of trials (60 to 150). Settings can be changed on yearly plans; free and pay-as-you-go studies use the standard settings.

Which languages can participants use?

The test's own text is in English and Italian. Italian participant pages come with yearly plans.

Is this a clinical test?

No. ConductCognition is for research use only. It runs, scores and exports the test; clinical interpretation is outside the platform.

Every test: the full test list.

Run this test in your next study

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