Conventional analysis of trial-by-trial adaptation is biased: Empirical and theoretical support using a Bayesian estimator

Volume: 14, Issue: 12, Pages: e1006501 - e1006501
Published: Dec 26, 2018
Abstract
Research on human motor adaptation has often focused on how people adapt to self-generated or externally-influenced errors. Trial-by-trial adaptation is a person’s response to self-generated errors. Externally-influenced errors applied as catch-trial perturbations are used to calculate a person’s perturbation adaptation rate. Although these adaptation rates are sometimes compared to one another, we show through simulation and empirical data that...
Paper Details
Title
Conventional analysis of trial-by-trial adaptation is biased: Empirical and theoretical support using a Bayesian estimator
Published Date
Dec 26, 2018
Volume
14
Issue
12
Pages
e1006501 - e1006501
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