As a new brain-inspired computational model of the artificial neural network, a spiking
neural network encodes and processes neural information through precisely timed spike …

The sensory cortex contains a wide array of neuronal types, which are connected together
into complex but partially stereotyped circuits. Sensory stimuli trigger cascades of electrical …

Understanding how the brain operates requires understanding how large sets of neurons
function together. Modern recording technology makes it possible to simultaneously record …

Understanding how neural systems integrate, encode, and compute information is central to
understanding brain function. Frequently, data from neuroscience experiments are …

Both theoretical and experimental evidence indicate that synaptic excitation and inhibition in
the cerebral cortex are well-balanced during the resting state and sensory processing. Here …

Abstract Information theory has long been used to quantify interactions between two
variables. With the rise of complex systems research, multivariate information measures …

The design of modern convolutional artificial neural networks (ANNs) composed of formal
neurons copies the architecture of the visual cortex. Signals proceed through a hierarchy …

The study of biomimetic robots and that of animal behaviors are mutually-reinforcing and
inseparable. Animals, through long-term evolutionary processes, have developed innate …

A complex network of bistable Hodgkin-Huxley (HH) neurons with excitatory coupling can
exhibit a partially spiking chimera behavior. We propose to use this chimera-like state for …

One of the modern trends in the design of human–machine interfaces (HMI) is to involve the
so called spiking neuron networks (SNNs) in signal processing. The SNNs can be trained by …