Bouts, Pauses, and Units of Operant Performance: A Primer

Falligant et al. (2024) wrote a how-to guide. They show you how to cut any stream of lever presses, key pecks, or button taps into two piles: quick bursts (bouts) and the quiet gaps between them.

You graph the pauses on a log scale. If the line bends twice, you fit two exponentials. The steep slope gives you the within-bout speed. The shallow slope gives you the between-bout pause.

The two-line trick splits motor skill from motivation. Short gaps tell you how fast the fingers can move. Long gaps tell you how willing the organism is to start again.

Once the math is done, you get two clean numbers: bout rate and pause rate. You can track each one separately across sessions, drugs, or interventions.

O'connell (1979) ran rats on omission trials and saw the same IRT raw data. Falligant’s primer now tells us how to chop those old rat curves into bout and pause pieces.

Rapport et al. (1982) taught pigeons to label their own prior act as ‘response’ or ‘pause.’ The new primer gives the same split, but uses math instead of bird reports.

Labrecque et al. (2024) show that habits strengthen cue-response links. Falligant shows how to see that strength in the pause side of the graph, not just the rate side.

Next time your client’s correct responses drop, export the IRTs. Run the two-exponential fit. If the bout rate stayed the same but pauses grew, motivation—not skill—slipped. You can then adjust reinforcer size or schedule, not waste time re-teaching the movement.