The human brain is a complex, interconnected network par excellence. Accurate and
informative map** of this human connectome has become a central goal of neuroscience …

Adaptive networks appear in many biological applications. They combine topological
evolution of the network with dynamics in the network nodes. Recently, the dynamics of …

The lack of a formal link between neural network structure and its emergent function has
hampered our understanding of how the brain processes information. We have now come …

Brain function depends on adaptive self-organization of large-scale neural assemblies, but
little is known about quantitative network parameters governing these processes in humans …

Considering the brain as a complex network of interacting dynamical systems offers new
insights into higher level brain processes such as memory, planning, and abstract reasoning …

Ever since the pioneering work of Hodgkin and Huxley, biological neuron models have
consisted of ODEs representing the evolution of the transmembrane voltage and the …

Traditional approaches to understanding the brain's resilience to neuropathology have
identified neurophysiological variables, often described as brain or cognitive “reserve,” …

Accounts of mechanistic explanation have emphasized the importance of looking down—
decomposing a mechanism into its parts and operations. Using research on visual …

The progression of game theory from classical to evolutionary and spatial games provided a
powerful means to study cooperation, and enabled a better understanding of general …

Background Brain structure and dynamics are interdependent through processes such as
activity-dependent neuroplasticity. In this study, we aim to theoretically examine this …