To explain how the brain orchestrates information-processing for cognition, we must
understand information itself. Importantly, information is not a monolithic entity. Information …

Models of working memory (WM) commonly focus on how information is encoded into and
retrieved from storage at specific moments. However, in the majority of real-life processes …

Several analog and digital brain-inspired electronic systems have been recently proposed
as dedicated solutions for fast simulations of spiking neural networks. While these …

We begin by reviewing the statistical framework of information theory as applicable to
neuroimaging data analysis. A major factor hindering wider adoption of this framework in …

The past decade has witnessed a renewed interest in cortical local field potentials (LFPs)—
that is, extracellularly recorded potentials with frequencies of up to∼ 500 Hz. This is due to …

Of the various attempts to generalize information theory to multiple variables, the most
widely utilized, interaction information, suffers from the problem that it is sometimes negative …

How the brain encodes information in population activity, and how it combines and
manipulates that activity as it carries out computations, are questions that lie at the heart of …

Parkinson's disease is a common and disabling disorder of movement owing to
dopaminergic denervation of the striatum. However, it is still unclear how this denervation …

Statistical dependencies in the responses of sensory neurons govern both the amount of
stimulus information conveyed and the means by which downstream neurons can extract it …

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