activity
20172024
most citedApproximate Bayesian inference as a gauge theory

140 citations · 144 across the 6 of their papers we have counts for

collaborators

6 papers

q-bio.NC2024

Cortical Dynamics of Neural-Connectivity Fields

Gerald K. Cooray, Vernon Cooray, Karl J. Friston

Macroscopic studies of cortical tissue reveal a prevalence of oscillatory activity, that reflect a fine tuning of neural interactions. This research extends neural field theories b…

q-bio.NC2023

Canonical Cortical Field Theories

Gerald K. Cooray, Vernon Cooray, Karl Friston

We characterise the dynamics of neuronal activity, in terms of field theory, using neural units placed on a 2D-lattice modelling the cortical surface. The electrical activity of ne…

q-bio.NC2023★ 1 cited

Modelling cortical network dynamics

Gerald K. Cooray, Richard E. Rosch, Karl J. Friston

We consider the theoretical constraints on interactions between coupled cortical columns. Each column comprises a set of neural populations, where each population is modelled as a…

q-bio.NC2022

Global dynamics of neural mass models

Gerald Cooray, Richard Rosch, Karl Friston

Neural mass models are used to simulate cortical dynamics and to explain the electrical and magnetic fields measured using electro- and magnetoencephalography. Simulations evince a…

stat.ML2017★ 3 cited

Bayesian Belief Updating of Spatiotemporal Seizure Dynamics

Gerald K Cooray, Richard Rosch, Torsten Baldeweg +3

Epileptic seizure activity shows complicated dynamics in both space and time. To understand the evolution and propagation of seizures spatially extended sets of data need to be ana…

q-bio.NC2017★ 140 cited

Approximate Bayesian inference as a gauge theory

Biswa Sengupta, Karl Friston

In a published paper [Sengupta, 2016], we have proposed that the brain (and other self-organized biological and artificial systems) can be characterized via the mathematical appara…