Peter Robinson, University of Sydney

Physically Based Modeling and Analysis of Brain Activity and Function

The brain is a multiscale physical system whose dynamics span many decades in time and space. Neural field theory (NFT) provides a way to analyze multiscale brain activity and function that is closely based on the underlying physiology, anatomy, and geometry, and whose predictions are able to be quantitatively related to measurements. Here, a brief outline of NFT is given before outlining a selection of its predictions of observables such as EEG spectra, evoked potentials, brain criticality and introspection, and eigenmodes of brain activity. The use of eigenmodes to compactly represent and analyze brain function and connectivity is then discussed, including the ability to predict functional connectivity from effective connectivity and vice versa.

Additional Information

Workshop talk; registration is necessary

Organized by

GRK 1589