Network control theory (NCT) is a simple and powerful tool for studying how network
topology informs and constrains the dynamics of a system. Compared to other structure …

Recent progress towards understanding circuit function has capitalized on tools from
network science to parsimoniously describe the spatiotemporal architecture of neural …

Optimizing direct electrical stimulation for the treatment of neurological disease remains
difficult due to an incomplete understanding of its physical propagation through brain tissue …

Cortical variations in cytoarchitecture form a sensory-fugal axis that shapes regional profiles
of extrinsic connectivity and is thought to guide signal propagation and integration across …

The theory of structural controllability allows us to assess controllability of a network as a
function of its interconnection graph and independently of the edge weights. Yet, existing …

This article deals with strong structural controllability of linear systems. In contrast to the
existing work, the structured systems studied in this article have a so-called …

In this paper, we propose a framework to control brain-wide functional connectivity by
selectively acting on the brain's structure and parameters. Functional connectivity, which …

The control of networked dynamical systems opens the possibility for new discoveries and
therapies in systems biology and neuroscience. Recent theoretical advances provide …

In this paper we consider the problem of controlling a limited number of target nodes of a
network. Equivalently, we can see this problem as controlling the target variables of a …

The use of network control theory to analyze the organization of white matter fibers in the
human brain has the potential to enable mechanistic theories of cognition, and to inform the …