In this Review, we describe the singular success of attractor neural network models in
describing how the brain maintains persistent activity states for working memory, corrects …

A multiagent system should be capable of fast and flexible decision-making to successfully
manage the uncertainty, variability, and dynamic change encountered when operating in the …

What happens in our brain when we make a decision? What triggers a neuron to send out a
signal? What is the neural code? This textbook for advanced undergraduate and beginning …

Synchronization of an ensemble of oscillators is an emergent phenomenon present in
several complex systems, ranging from social and physical to biological and technological …

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

Many biological and neural systems can be seen as networks of interacting periodic
processes. Importantly, their functionality, ie, whether these networks can perform their …

A key characteristic of human brain activity is coherent, spatially distributed oscillations
forming behaviour-dependent brain networks. However, a fundamental principle underlying …

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 present The Virtual Brain (TVB), a neuroinformatics platform for full brain network
simulations using biologically realistic connectivity. This simulation environment enables the …

Prefrontal persistent activity during the delay of spatial working memory tasks is thought to
maintain spatial location in memory. A'bump attractor'computational model can account for …