New paper by Nadim Atiya in PLoS Computational Biology

In a new theoretical paper led by Nadim Atiya, we use a biologically-plausible model of decision uncertainty to show that shifts in metacognition are associated with disturbances in the interaction between decision-making and higher-order uncertainty-monitoring networks. This provides a first step towards a dynamical systems perspective on metacognition - one that models continuous interactions between different levels of the network. Excitingly, this approach also potentially enables inferences about uncertainty modulation (and, in turn, these facets of metacognition) from fits to first-order performance data alone. We related our model’s uncertainty modulation to individual differences in psychopathology (reanalysing existing data from the lab), and show that it can offer an implicit, low-dimensional marker of metacognitive (dys)function.