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 …

The brain is noisy. Neurons receive tens of thousands of highly fluctuating inputs and
generate spike trains that appear highly irregular. Much of this activity is spontaneous …

Biorealistic spiking neural networks (SNN) are believed to hold promise for further energy
improvement over artificial neural networks (ANNs). However, it is difficult to implement …

We review the principal assumptions underlying the application of phase-response curves
(PRCs) to synchronization in neuronal networks. The PRC measures how much a given …

Information is transmitted in the brain through various kinds of neurons that respond
differently to the same signal. Full characteristics including cognitive functions of the brain …

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 …

Regularly spiking neurons can be described as oscillators. In this article we review some of
the insights gained from this conceptualization and their relevance for systems …

The microstimulation of specific neural populations of the brain is one of the facile and
reliable methods used in neuroscience for deduction of functional movement, complex …

Spike generation in cortical neurons depends on the interplay between diverse intrinsic
conductances. The phase response curve (PRC) is a measure of the spike time shift caused …

We develop a framework to design optimal entrainment signals that entrain an ensemble of
heterogeneous nonlinear oscillators, described by phase models, at desired phases. We …