The intracerebral local field potential (LFP) is a measure of brain activity that reflects the
highly dynamic flow of information across neural networks. This is a composite signal that …

A key element of the European Union's Human Brain Project (HBP) and other large-scale
brain research projects is the simulation of large-scale model networks of neurons. Here, we …

Taking a step-by-step approach to modelling neurons and neural circuitry, this textbook
teaches students how to use computational techniques to understand the nervous system at …

Neural population equations such as neural mass or field models are widely used to study
brain activity on a large scale. However, the relation of these models to the properties of …

Cortical activity has distinct features across scales, from the spiking statistics of individual
cells to global resting-state networks. We here describe the first full-density multi-area …

Accurate population models are needed to build very large-scale neural models, but their
derivation is difficult for realistic networks of neurons, in particular when nonlinear properties …

Macroscopic oscillations of different brain regions show multiple phase relationships that are
persistent across time and have been implicated in routing information. While multiple …

With rapidly advancing multi-electrode recording technology, the local field potential (LFP)
has again become a popular measure of neuronal activity in both research and clinical …

Despite advances in experimental techniques and accumulation of large datasets
concerning the composition and properties of the cortex, quantitative modeling of cortical …

Mathematical and statistical models have played important roles in neuroscience, especially
by describing the electrical activity of neurons recorded individually, or collectively across …