Complex systems are very often organized under the form of networks where nodes and
edges are embedded in space. Transportation and mobility networks, Internet, mobile phone …

Learning is traditionally studied in biological or computational systems. The power of
learning frameworks in solving hard inverse problems provides an appealing case for the …

Higher-order networks describe the many-body interactions of a large variety of complex
systems, ranging from the the brain to collaboration networks. Simplicial complexes are …

In the brain, increases in neural activity drive changes in local blood flow via neurovascular
coupling. The common explanation for increased blood flow (known as functional …

The design and function of leaf venation are important to plant performance, with key
implications for the distribution and productivity of ecosystems, and applications in …

Across plant species, leaves vary enormously in their size and their venation architecture, of
which one major function is to replace water lost to transpiration. The leaf hydraulic …

Hypergraphs and simplical complexes both capture the higher-order interactions of complex
systems, ranging from higher-order collaboration networks to brain networks. One open …

Vascular plant mortality during drought has been strongly linked to a failure of the internal
water transport system caused by the rapid invasion of air and subsequent blockage of …

Watts and Strogatz, with the publication in 1998 of their seminal paper on small-world
networks, opened the golden era of complex networks studies and showed in particular how …

Neuromorphic networks are formed by random self-assembly of silver nanowires. Silver
nanowires are coated with a polymer layer after synthesis in which junctions between two …