title: Rapid generation of balanced trial distributions for discrimination learning procedures: a technical note.
abstract: We describe novel computer algorithms for rapid, sometimes virtually instantaneous generation of trial sequences needed to instrument many behavioral research procedures. Implemented on typical desktop or laptop computers, the algorithms impose constraints to forestall development of undesired stimulus control by position, recent trial outcomes, and other variables that could impede simple and conditional discrimination learning. They yield trial-by-trial lists of sequences that can serve (1) as inputs to procedure control software or (2) in generating templates for constructing sessions for implementation by hand or machine.
authors.affiliation: Shriver Center, University of Massachusetts Medical School.
authors.forename: Christophe J
authors.initials: CJ
authors.lastname: Gerard
authors.forename: Harry A
authors.initials: HA
authors.lastname: Mackay
authors.forename: Brooks
authors.initials: B
authors.lastname: Thompson
authors.forename: William J
authors.initials: WJ
authors.lastname: McIlvane
mesh_terms: D000465:Algorithms; D004193:Discrimination Learning; D006801:Humans; D010364:Pattern Recognition, Visual; D012985:Software Design
keywords: discrimination; multitrial procedures; rapid session construction tool