In robust variational physics-informed neural networks (RVPINNs), the loss function is formulated in terms of the Riesz representative of the variational residual within a discrete test space. This ap...

We quantitatively document a sperm whale birth event, revealing collective support behaviors across kinship lines. Using high-resolution drone footage, computer vision, and multiscale network analysis...

Join us for a series of engaging seminars led by the distinguished Igor Branchi at NetSI London!

Signed networks provide a principled framework for representing systems in which interactions are not merely present or absent but qualitatively distinct: friendly or antagonistic, supportive or confl...

Author summary Transcranial ultrasound stimulation (TUS) offers a non-invasive approach to modulating brain activity, holding promise for treating psychiatric and neurological disorders. Despite its p...

Overview, list of speakers, and schedule

Overview, list of speakers, and schedule

Overview, list of speakers, and schedule

Slides and code for Network Inference tutorial. Contribute to jlizier/netinf_tutorial development by creating an account on GitHub.

The brain's modular organization, ranging from microcircuits to large-scale networks, has been extensively studied in terms of its structural and functional properties. Particularly insightful has bee...

Higher-order networks are used to model complex contagion processes in social groups of varying sizes, where heterogeneity and microscopic group arrangements can critically influence the dynamics. How...