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 major shift is happening within neurophysiology: a population doctrine is drawing level
with the single-neuron doctrine that has long dominated the field. Population-level ideas …

Multistability or coexistence of different attractors for a given set of parameters is one of the
most exciting phenomena in dynamical systems. It can be found in different areas of science …

A major goal of neuroscience, statistical physics, and nonlinear dynamics is to understand
how brain function arises from the collective dynamics of networks of spiking neurons. This …

Binocular rivalry occurs when the eyes are presented with different stimuli and subjective
perception alternates between them. Though recent years have seen a number of models of …

This essay reviews major developments–empirical and theoretical–in the field of binocular
vision during the last 25years. We limit our survey primarily to work on human stereopsis …

It has been fifty years since Levelt's monograph On Binocular Rivalry (1965) was published,
but its four propositions that describe the relation between stimulus strength and the …

Neural population equations such as neural mass or field models are widely used to study
brain activity on a large scale. However, the relation of these models to the properties of …

A given pattern of optical stimulation can arise from countless possible real-world sources,
creating a dilemma for vision: What in the world actually gives rise to the current pattern …

Sometimes, perception fluctuates spontaneously between two distinct interpretations of a
constant sensory input. These bistable perceptual phenomena provide a unique window …