Computational models in neuroscience usually take the form of systems of differential
equations. The behaviour of such systems is the subject of dynamical systems theory …

Addressing the multiscale organization of the brain, which is fundamental to the dynamic
repertoire of the organ, remains challenging. In principle, it should be possible to model …

INTRODUCTION In the absence of sensory inputs, the brain produces structured patterns of
activity, which can be as large as or larger than sensory-driven activity. Ongoing activity …

In this Opinion article, we discuss how integrated information theory accounts for several
aspects of the relationship between consciousness and the brain. Integrated information …

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 …

Neural activity maintains representations that bridge past and future events, often over many
seconds. Network models can produce persistent and ram** activity, but the positive …

Recent years have seen a growing interest in inhibitory interneurons and their circuits. A
striking property of cortical inhibition is how tightly it balances excitation. Inhibitory currents …

Mounting evidence suggests that during conscious states, the electrodynamics of the cortex
are poised near a critical point or phase transition and that this near-critical behavior …

We describe an all-optical strategy for simultaneously manipulating and recording the
activity of multiple neurons with cellular resolution in vivo. We performed simultaneous two …

The computations performed by local neural populations, such as a cortical layer, are
typically inferred from anatomical connectivity and observations of neural activity. Here we …