Explaining hyper-sensitivity and hypo-responsivity in autism with a common predictive coding-based mechanism

ABSTRACT

Ward’s signal detection theory-based framework elucidates some aspects of interindividual differences in sensitivity, but, we argue, obscures others. Specifically, it disregards the important challenge of inferring the meaning of sensory inputs. Within Bayesian predictive coding accounts, the meaning is given by inferences to more deeply hidden causes of sensory inputs and is generally the basis for initiating context-appropriate (e.g., social) behavior. As such, when inference of hierarchical causes is hampered, as accounts of autism based on deficient precision estimation imply, a form of hyporesponsivity can emerge (together with the hypersensitivity already highlighted by Ward).

KEYWORDS:

• Autism
• hypersensitivity
• predictive coding
• hierarchical bayesian inference

Acknowledgments

Sander Van de Cruys is a postdoctoral fellow of the Research Foundation – Flanders (FWO). Kelsey Perrykkad is supported by an Australian Government Research Training Program (RTP) Scholarship.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work was supported by the Australian Research Council [DP160102770];Fonds Wetenschappelijk Onderzoek.