Pavlovian influences impair instrumental learning. It is easier to learn to approach reward-predictive signals and avoid punishment-predictive cues than their contrary. Whether the interindividual variability in this Pavlovian influence is consistent across time has been examined by a number of recent studies and met with mixed results. Here we introduce an open-source, web-based instance of a well-established Go-NoGo paradigm for measuring Pavlovian influence. We closely replicated the previous laboratory-based results. Moreover, the interindividual differences in Pavlovian influence were consistent across a two-week time window at the level of (i) raw measures of learning (i.e. performance accuracy), (ii) linear, descriptive estimates of Pavlovian bias (test-retest reliability: 0.40), and (iii) parameters obtained from reinforcement learning model fitting and model selection (test-retest reliability: 0.25). Nonetheless, the correlations reported here are still lower than the standards (i.e. 0.7) employed in psychometrics and self-reported measures. Our results provide support for trusting Pavlovian bias as a relatively stable individual characteristic and for using its measure in the computational understanding of human mental health.
Keywords: Pavlovian bias; decision making; learning.
© 2023 The Authors.