title: Wiener filter estimation of transfer functions.
abstract: The use of a Wiener filter estimate for the linear transfer function can significantly improve the description of behavioral dynamics. This report presents a two-pass, Monte-Carlo-based algorithm that is well suited to repeated-trials local average measurements. The Wiener filter transfer functions strongly suppress noise artifacts as well as allow reliable transfer function determination under a much wider class of reinforcement schedules. Implications of expanding the possible form of experimental design are considered along with improvements in the fidelity of resulting predictions.
authors.affiliation: Electro-Optics Technology Section, Code 8123, Naval Research Laboratory, Washington, D.C. 20375-5354, USA. kessel@ncst.nrl.navy.mil
authors.forename: Robert
authors.initials: R
authors.lastname: Kessel
mesh_terms: D000818:Animals; D001522:Behavior, Animal; D010856:Columbidae; D004193:Discrimination Learning; D008960:Models, Psychological; D014163:Transfer, Psychology