A potent tool to study neural patterns

Hamidreza Jamalabadi co-organized the summer school on "Current and future applications of network and control sciences for Psychiatry" between 29.09.2021 - 01.10.2021

Network control is an emerging field where two lines of research, namely control and network theories, are combined to study complex systems. The strength of network control in comparison with existing techniques lies in its ability to make concrete prediction with respect to the future behavior of the studied system and associate it with the system’s physical structure. When applied to brain data, network control not only allows to describe the complex temporal patterns of neural activity within a mathematically rigorous quantitative framework, but also directly predicts the full trajectory of state transitions based on the algebraic distribution of driver nodes and the time course of the input signals.

You can find more information here.