The brain is organized as a network of highly specialized networks of spiking neurons. To
exploit such a modular architecture for computation, the brain has to be able to regulate the …

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 …

Neural networks are more than the sum of their parts, but the properties of those parts are
nonetheless important. For instance, neuronal properties affect the degree to which neurons …

In this paper, based on a chain Hindmarsh–Rose (HR) neural network under the action of
electromagnetic field, the effects of connection strength between adjacent neurons on the …

The electric activities of neurons can be modulated when autapses are connected to
neurons. A forward feedback neuronal network in chain type is designed, which the local …

Severe shot peening (SSP) process is widely used for surface nanocrysallization of a bulk
material that demonstrates excellent mechanical properties compared with its coarse …

The brain is composed of billions of neurons, the elementary units of neuronal information
processing. The neocortex, which is critical to most higher brain functions, is a highly …

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

Complex patterns of neural activity appear during up-states in the neocortex and sharp
waves in the hippocampus, including sequences that resemble those during prior …

The synfire chain model has been proposed as the substrate that underlies computational
processes in the brain and has received extensive theoretical study. In this model cortical …