Beyond drug effects and dependent variables: the use of the Poisson-Erlang model to assess the effects of D-amphetamine on information processing.

@article{Halliday1990BeyondDE,
  title={Beyond drug effects and dependent variables: the use of the Poisson-Erlang model to assess the effects of D-amphetamine on information processing.},
  author={Roy Halliday and Karin Gregory and Hilary Naylor and Enoch Callaway and L M Yano},
  journal={Acta psychologica},
  year={1990},
  volume={73 1},
  pages={35-54}
}
Several studies have shown that d-amphetamine (DAMP) speeds mean reaction time (RT). However, the use of mean RT may obscure important aspects of the drug response. Therefore we applied the Poisson-Erlang (PE) stochastic model of choice reaction time proposed by Pieters (1985) to the RT distribution. This model proposes that the RT distribution is generated by two states: Processing (P) and Distraction (D). RT represents the sum of the time spent in each of these states. P is the time taken to… CONTINUE READING