Structural Insights Into the Dynamic Evolution of Neuronal Networks as Synaptic Density Decreases.

ABSTRACT: The human brain is thought to be an extremely complex but efficient computing engine, processing vast amounts of information from a changing world. The decline in the synaptic density of neuronal networks is one of the most important characteristics of brain development, which is closely related to synaptic pruning, synaptic growth, synaptic plasticity, and energy metabolism. However, because of technical limitations in observing large-scale neuronal networks dynamically connected through synapses, how neuronal networks are organized and evolve as their synaptic density declines remains unclear. Here, by establishing a biologically reasonable neuronal network model, we show that despite a decline in the synaptic density, the connectivity, and efficiency of neuronal networks can be improved

SUBMITTER: Yuan Y 

PROVIDER: S-EPMC6714520 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature