The collective activity of a population of neurons, beyond the properties of individual cells, is
crucial for many brain functions. A fundamental question is how activity correlations between …

Approaching limitations of digital computing technologies have spurred research in
neuromorphic and other unconventional approaches to computing. Here we argue that if we …

This work explores the synchronization issue for singularly perturbed coupled neural
networks (SPCNNs) affected by both nonlinear constraints and gain uncertainties, in which a …

Optogenetics ushered in a revolution in how neuroscientists interrogate brain function.
Because of technical limitations, the majority of optogenetic studies have used low spatial …

Breathing is a vital rhythmic motor behavior with a surprisingly broad influence on the brain
and body. The apparent simplicity of breathing belies a complex neural control system, the …

We propose a spiking neural network model that encodes information in the relative timing
of individual neuron spikes and performs classification using the first output neuron to spike …

Trial-to-trial variability in the execution of movements and motor skills is ubiquitous and
widely considered to be the unwanted consequence of a noisy nervous system. However …

Neuronal networks with strong recurrent connectivity provide the brain with a powerful
means to perform complex computational tasks. However, high-gain excitatory networks are …

Synchronous rhythms represent a core mechanism for sculpting temporal coordination of
neural activity in the brain-wide network. This review focuses on oscillations in the cerebral …

We developed a large-scale dynamical model of the macaque neocortex, which is based on
recently acquired directed-and weighted-connectivity data from tract-tracing experiments …