Molecular analyses of the principal components of response strength

Peter R. Killeen, Scott S. Hall, Mark P. Reilly, Lauren C. Kettle

Research output: Contribution to journalArticlepeer-review

41 Scopus citations


Killeen and Hall (2001) showed that a common factor called strength underlies the key dependent variables of response probability, latency, and rate, and that overall response rate is a good predictor of strength. In a search for the mechanisms that underlie those correlations, this article shows that (a) the probability of responding on a trial is a two-state Markov process; (b) latency and rate of responding can be described in terms of the probability and period of stochastic machines called clocked Bernoulli modules; and (c) one such machine, the refractory Poisson process, provides a functional relation between the probability of observing a response during any epoch and the rate of responding. This relation is one of proportionality at low rates and curvilinearity at higher rates.

Original languageEnglish
Pages (from-to)127-160
Number of pages34
JournalJournal of the Experimental Analysis of Behavior
Issue number2
StatePublished - Sep 2002


  • IRT distributions
  • Latency
  • Models
  • Pigeons
  • Probability
  • Rate
  • Rats


Dive into the research topics of 'Molecular analyses of the principal components of response strength'. Together they form a unique fingerprint.

Cite this