Bowers and Davis (2012) criticize Bayesian modelers for telling "just so" stories about cognition and neuroscience. Their criticisms are weakened by not giving an accurate characterization of the motivation behind Bayesian modeling or the ways in which Bayesian models are used and by not evaluating this theoretical framework against specific alternatives. We address these points by clarifying our beliefs about the goals and status of Bayesian models and by identifying what we view as the unique merits of the Bayesian approach.
All Science Journal Classification (ASJC) codes
- Bayesian inference
- Computational neuroscience
- Probabilistic models
- Theoretical frameworks