Dynamical modeling of neural systems and brain functions has a history of success over the
last half century. This includes, for example, the explanation and prediction of some features …

The brain is a highly modular structure. To exploit modularity, it is necessary that spiking
activity can propagate from one module to another while preserving the information it …

Networks of living neurons exhibit diverse patterns of activity, including oscillations,
synchrony, and waves. Recent work in physics has shown yet another mode of activity in …

Neural network modeling is often concerned with stimulus-driven responses, but most of the
activity in the brain is internally generated. Here, we review network models of internally …

Neuronal avalanches are spatiotemporal patterns of neuronal activity that occur
spontaneously in superficial layers of the mammalian cortex under various experimental …

The integrate-and-fire neuron model describes the state of a neuron in terms of its
membrane potential, which is determined by the synaptic inputs and the injected current that …

Long-term potentiation of synapse strength requires enlargement of dendritic spines on
cerebral pyramidal neurons. Long-term depression is linked to spine shrinkage. Indeed …

The precise role of synchronous neuronal firing in signal encoding remains unclear. To
examine what kinds of signals can be carried by synchrony, I reproduced a multilayer …

Isolated feedforward networks (FFNs) of spiking neurons have been studied extensively for
their ability to propagate transient synchrony and asynchronous firing rates, in the presence …

The synfire hypothesis states that under appropriate conditions volleys of synchronized
spikes (pulse packets) can propagate through the cortical network by traveling along chains …