The reinforcement of least-frequent interresponse times.
Reinforcing the rarest wait times between responses can build a stable yet flexible response rhythm.
01Research in Context
What this study did
The team built a brand-new reinforcement schedule for pigeons.
They watched how long the bird waited between key pecks.
Whenever the bird gave a wait time that had been rare, they dropped grain.
They kept this up until the bird’s pauses formed a steady, predictable pattern.
What they found
The rare-wait schedule worked fast.
The birds settled into a smooth, exponential rhythm of peck-pause-peck.
The new baseline stayed stable, yet it still let the researchers tweak it later.
How this fits with other research
Shimp (1971) ran the same idea on two keys instead of one.
The pigeons again matched their wait times to where the grain was delivered, showing the effect holds across keys.
Davison et al. (1968) had already shown that local timing, not just grain rate, drives responding.
The 1966 study puts that rule into action by reinforcing the least-used wait, proving local control can be built into a schedule.
Palya (1992) later found that pigeons burst at about three pecks per second no matter the schedule.
Those tiny bursts sit inside the smooth exponential the 1966 paper created, linking micro-rhythm to macro-pattern.
Why it matters
You now have proof that reinforcing an uncommon wait time can sculpt steady, flexible response rates.
When you need a calm, even baseline—say, before teaching a new skill—program reinforcement for the child’s rare long pauses.
Start with short waits, then stretch.
The child’s responses will spread out while staying predictable, giving you a clean slate for the next teaching step.
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02At a glance
03Original abstract
A new schedule of reinforcement was used to maintain key-pecking by pigeons. The schedule reinforced only pecks terminating interresponse times which occurred least often relative to the exponential distribution of interresponse times to be expected from an ideal random generator. Two schedule parameters were varied: (1) the rate constant of the controlling exponential distribution and (2) the probability that a response would be reinforced, given that it met the interresponse-time contingency. Response rate changed quickly and markedly with changes in the rate constant; it changed only slightly with a fourfold change in the reinforcement probability. The schedule produced stable rates and high intra- and inter-subject reliability, yet interresponse time distributions were approximately exponential. Such local interresponse time variability in the context of good overall control suggests that the schedule may be used to generate stable, predictable, yet sensitive baseline rates. Implications for the measurement of rate are discussed.
Journal of the experimental analysis of behavior, 1966 · doi:10.1901/jeab.1966.9-581