Generative models of brain function: Inference, networks, and mechanisms
Recording
Abstract
This talk will focus on the generative modelling of resting state time series or endogenous neuronal activity. I will survey developments in modelling distributed neuronal fluctuations – spectral dynamic causal modelling (DCM) for functional MRI – and how this modelling rests upon functional connectivity. The dynamics of brain connectivity has recently attracted a lot of attention among brain mappers. I will also show a novel method to identify dynamic effective connectivity using spectral DCM. Further, I will summarise the development of the next generation of DCMs towards large-scale, whole-brain schemes which are computationally inexpensive, to the other extreme of the development using more sophisticated and biophysically detailed generative models based on the canonical microcircuits.
Topics
More topics
Related Seminars
Latent-aligned generative models uncover shared structure in spontaneous whole-brain dynamics
Related research
Learning generative dynamical systems models from multi-modal and multi-animal neuro-data
Related research
Predictive modeling, cortical hierarchy, and their computational implications
More on effective connectivity