A biophysical model of dynamic balancing of excitation and inhibition in fast oscillatory large-scale networks.

ABSTRACT: Over long timescales, neuronal dynamics can be robust to quite large perturbations, such as changes in white matter connectivity and grey matter structure through processes including learning, aging, development and certain disease processes. One possible explanation is that robust dynamics are facilitated by homeostatic mechanisms that can dynamically rebalance brain networks. In this study, we simulate a cortical brain network using the Wilson-Cowan neural mass model with conduction delays and noise, and use inhibitory synaptic plasticity (ISP) to dynamically achieve a spatially local balance between excitation and inhibition. Using MEG data from 55 subjects we find that ISP enables us to simultaneously achieve high correlation with multiple measures of functional connectivity, including

SUBMITTER: Abeysuriya RG 

PROVIDER: S-EPMC5841816 | biostudies-literature | 2018 Feb

REPOSITORIES: biostudies-literature