****Events

###### Piergiorgio Salvan

Over the past two decades, human neuroscience has shown how cognitive behaviour relies on a large-scale neural system that exhibits intrinsic, spontaneous patterns of dynamic activity. Although this computation emerges from excitatory and inhibitory interactions at the synaptic level, how the large-scale brain architecture constrains system’s entire dynamics, is still unclear. Network controllability is a mathematical framework to explore structure-function relationships in complex systems, and may be suited to study how the underlying network topology influences brain dynamics. Here I will discuss brain network controllability as an organising principle of the human brain: linking micro-scale neurochemical excitation with system’s dynamics, through network topology.

## Want to be notified about upcoming NetSI events?

Sign up for our email list below!

Thank you! You have been added to our email list.

Oops! Something went wrong while submitting the form

###### Piergiorgio Salvan

Over the past two decades, human neuroscience has shown how cognitive behaviour relies on a large-scale neural system that exhibits intrinsic, spontaneous patterns of dynamic activity. Although this computation emerges from excitatory and inhibitory interactions at the synaptic level, how the large-scale brain architecture constrains system’s entire dynamics, is still unclear. Network controllability is a mathematical framework to explore structure-function relationships in complex systems, and may be suited to study how the underlying network topology influences brain dynamics. Here I will discuss brain network controllability as an organising principle of the human brain: linking micro-scale neurochemical excitation with system’s dynamics, through network topology.