The collective activity of a population of neurons, beyond the properties of individual cells, is
crucial for many brain functions. A fundamental question is how activity correlations between …

A central goal of neuroscience is to understand the representations formed by brain activity
patterns and their connection to behaviour. The classic approach is to investigate how …

Computational strategies used by the brain strongly depend on the amount of information
that can be stored in population activity, which in turn strongly depends on the pattern of …

Responses of sensory neurons differ across repeated measurements. This variability is
usually treated as stochasticity arising within neurons or neural circuits. However, some …

Reliable sensory discrimination must arise from high-fidelity neural representations and
communication between brain areas. However, how neocortical sensory processing …

Brain function involves the activity of neuronal populations. Much recent effort has been
devoted to measuring the activity of neuronal populations in different parts of the brain under …

Neural responses in the visual cortex are variable, and there is now an abundance of data
characterizing how the magnitude and structure of this variability depends on the stimulus …

What are the neural mechanisms underlying working memory (WM)? One influential theory
posits that neurons in the lateral prefrontal cortex (lPFC) store WM information via persistent …

The mechanisms linking sensation and action during learning are poorly understood. Layer
2/3 neurons in the motor cortex might participate in sensorimotor integration and learning; …

There is strong behavioral and physiological evidence that the brain both represents
probability distributions and performs probabilistic inference. Computational neuroscientists …