Researcher at a glance

  • Affiliation: MRC Cognition and Brain Sciences Unit and Department of Psychology, University of Cambridge
  • Orientation: Computational and predictive-processing accounts of perception and psychiatry, with a focus on how the brain estimates and mis-estimates environmental volatility — most influentially in autism, where aberrant precision-weighting of prediction errors is proposed as a core mechanism

Cambridge cognitive neuroscientist working in the predictive-processing tradition, best known for computational accounts of how the brain estimates environmental volatility and how that estimation goes wrong — most influentially in autism, where her hierarchical-Bayesian modelling put aberrant precision-weighting of prediction errors on the map as a candidate core mechanism.

In the wiki

She is the middle author on Nord, Lawson & Dalgleish (2021), and the predictive-coding reading of that paper — the mid-insula as a site of interoceptive prediction-error encoding, with pathology framed as mis-weighted errors or over-precise priors — is squarely in her theoretical idiom. Her exteroceptive volatility work is the autism-precision story that runs parallel to the interoceptive one on computational psychosomatics and inferential?; the wiki also meets the same aberrant-precision phenotype from the visual side in Parr et al. (2019). Thin page: one paper in raw/.