Composed of ~100 billion interconnected neurons, the human brain is one of the most complex networks in Nature, exhibiting a rich repertoire of non-trivial spatiotemporal patterns spanning multiple spatial and temporal scales. At the macroscopic level, patterns with well-established behavioural correlates emerge from the collective behaviour of neuronal systems coupled through a complex wiring structure. Yet, the mechanisms underlying the formation and stability of these patterns, and their roles in neural computation, brain health and disease, remain poorly understood.

Understanding the fundamental principles governing the macroscopic dynamics of coupled neuronal populations will provide unprecedented insights to address key questions about brain dynamics across scales.

In this workshop, we bring together researchers in computational and systems neuroscience who use approaches from theoretical physics, mathematical analysis, dimensionality-reduction techniques and biologically-informed numerical simulations, to reflect and debate on the principles underlying macroscopic brain network dynamics in space, time and frequency domains, how they can be controlled, and their implications for information processing.