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 …

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

Many models of cognition and of neural computations posit the use and estimation of prior
stimulus statistics,,,: it has long been known that working memory and perception are …

How should one quantify the strength of association between two random variables without
bias for relationships of a specific form? Despite its conceptual simplicity, this notion of …

Learning to read and write the transcriptional regulatory code is of central importance to
progress in genetic analysis and engineering. Here we describe a massively parallel …

The spontaneous activity of the brain shows different features at different scales. On one
hand, neuroimaging studies show that long-range correlations are highly structured in …

We present some new results on the nonparametric estimation of entropy and mutual
information. First, we use an exact local expansion of the entropy function to prove almost …

The nervous system represents time dependent signals in sequences of discrete, identical
action potentials or spikes; information is carried only in the spike arrival times. We show …

Synchronization, a basic nonlinear phenomenon, is widely observed in diverse complex
systems studied in physical, biological and other natural sciences, as well as in social …

In this Letter, we present a cosmic Bell experiment with polarization-entangled photons, in
which measurement settings were determined based on real-time measurements of the …