Linking fast and slow: the case for generative models

no code implementations • 21 Aug 2023 • Johan Medrano, Karl J. Friston, Peter Zeidman

A pervasive challenge in neuroscience is testing whether neuronal connectivity changes over time due to specific causes, such as stimuli, events, or clinical interventions.

Bayesian Inference

Dynamic causal modelling of COVID-19

no code implementations • 9 Apr 2020 • Karl J. Friston, Thomas Parr, Peter Zeidman, Adeel Razi, Guillaume Flandin, Jean Daunizeau, Oliver J. Hulme, Alexander J. Billig, Vladimir Litvak, Rosalyn J. Moran, Cathy J. Price, Christian Lambert

This technical report describes a dynamic causal model of the spread of coronavirus through a population.

Neurovascular coupling: insights from multi-modal dynamic causal modelling of fMRI and MEG

no code implementations • 18 Mar 2019 • Amirhossein Jafarian, Vladimir Litvak, Hayriye Cagnan, Karl J. Friston, Peter Zeidman

The ensuing estimates of neuronal parameters are used to generate neuronal drive functions, which model the pre or post synaptic responses to each experimental condition in the fMRI paradigm.

Quantitative Methods