Kengo Miyazono |
Chapter 7 - Precarious Prediction
Presented by Kengo Miyazono
In chapter seven, Hohwy describes the ways in which perceptual inference is tuned in order to represent the world correctly and the ways in which it goes wrong.
The chapter discusses many different issues, but the central idea is that maintaining the "balance between trusting the sensory input and consequently keeping on sampling the world, versus distrusting the sensory input and instead relying more on one's prior beliefs" (146) is crucial in the successful operation of perceptual inference. Maintaining it is not a trivial task. And, the failure of the maintenance might be responsible for pathological conditions such as delusions or autism.
In principle, the prediction errors that are expected to be precise are allowed to drive revisions of prior beliefs higher up the hierarchy, while the prediction errors that are expected to be imprecise are not allowed to do so. Ideally, we expect high precision in predictions errors and, hence, allow them to drive belief revisions when they are trustworthy and expect low precision in prediction errors and, hence, do not allow them to drive belief revisions when they are not.
But, the process can go wrong. A possibility is that some people expect sensory prediction errors to be much less precise than they actually are. Hohwy suggests that this is what is happening in people with delusions; "a persistent, exaggerated expectation for noise and uncertainty would lead to imprecise sensory prediction errors mediated by low gain on sensory input and heightened reliance on top-down priors.
In principle, the prediction errors that are expected to be precise are allowed to drive revisions of prior beliefs higher up the hierarchy, while the prediction errors that are expected to be imprecise are not allowed to do so. Ideally, we expect high precision in predictions errors and, hence, allow them to drive belief revisions when they are trustworthy and expect low precision in prediction errors and, hence, do not allow them to drive belief revisions when they are not.
But, the process can go wrong. A possibility is that some people expect sensory prediction errors to be much less precise than they actually are. Hohwy suggests that this is what is happening in people with delusions; "a persistent, exaggerated expectation for noise and uncertainty would lead to imprecise sensory prediction errors mediated by low gain on sensory input and heightened reliance on top-down priors.