5 citations · 15 across the 12 of their papers we have counts for
9 papers · 1 filter
The principle of stationary action in neural systems
Erik D. Fagerholm, Karl J. Friston, Rosalyn J. Moran +1
The principle of stationary action is a cornerstone of modern physics, providing a powerful framework for investigating dynamical systems found in classical mechanics through to qu…
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…
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…
A Meta-Bayesian Model of Intentional Visual Search
Maell Cullen, Jonathan Monney, M. Berk Mirza +1
We propose a computational model of visual search that incorporates Bayesian interpretations of the neural mechanisms that underlie categorical perception and saccade planning. To…
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…
Fighting seizures with seizures: diffusion and stability in neural systems
Erik D. Fagerholm, Chayanin Tangwiriyasakul, Karl J. Friston +8
Seizure activity is a ubiquitous and pernicious pathophysiology that, in principle, should yield to mathematical treatments of (neuronal) ensemble dynamics - and therefore interven…
Second waves, social distancing, and the spread of COVID-19 across America
Karl J. Friston, Thomas Parr, Peter Zeidman +9
We recently described a dynamic causal model of a COVID-19 outbreak within a single region. Here, we combine several of these (epidemic) models to create a (pandemic) model of vira…
Estimating required 'lockdown' cycles before immunity to SARS-CoV-2: Model-based analyses of susceptible population sizes, 'S0', in seven European countries including the UK and Ireland
Rosalyn J. Moran, Erik D. Fagerholm, Maell Cullen +6
We used Bayesian model inversion to estimate epidemic parameters from the reported case and death rates from seven countries using data from late January 2020 to April 5th 2020. Tw…
Dynamic causal modelling of COVID-19
Karl J. Friston, Thomas Parr, Peter Zeidman +9
This technical report describes a dynamic causal model of the spread of coronavirus through a population. The model is based upon ensemble or population dynamics that generate outc…