5 citations · 6 across the 4 of their papers we have counts for
8 papers
Dynamic causal modelling of immune heterogeneity
Thomas Parr, Anjali Bhat, Peter Zeidman +4
An interesting inference drawn by some Covid-19 epidemiological models is that there exists a proportion of the population who are not susceptible to infection -- even at the start…
Parcels and particles: Markov blankets in the brain
Karl J. Friston, Erik D. Fagerholm, Tahereh S. Zarghami +4
At the inception of human brain mapping, two principles of functional anatomy underwrote most conceptions - and analyses - of distributed brain responses: namely functional segrega…
Effective immunity and second waves: a dynamic causal modelling study
Karl J. Friston, Thomas Parr, Peter Zeidman +11
This technical report addresses a pressing issue in the trajectory of the coronavirus outbreak; namely, the rate at which effective immunity is lost following the first wave of the…
Sophisticated Inference
Karl Friston, Lancelot Da Costa, Danijar Hafner +2
Active inference offers a first principle account of sentient behaviour, from which special and important cases can be derived, e.g., reinforcement learning, active learning, Bayes…
Markov Blankets in the Brain
Ines Hipolito, Maxwell Ramstead, Laura Convertino +3
Recent characterisations of self-organising systems depend upon the presence of a Markov blanket: a statistical boundary that mediates the interactions between what is inside of an…
Tracking and tracing in the UK: a dynamic causal modelling study
Karl J. Friston, Thomas Parr, Peter Zeidman +9
By equipping a previously reported dynamic causal model of COVID-19 with an isolation state, we modelled the effects of self-isolation consequent on tracking and tracing. Specifica…