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 …

The state of the brain and body constantly varies on rapid and slow timescales. These
variations contribute to the apparent noisiness of sensory responses at both the neural and …

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 …

How the brain processes information accurately despite stochastic neural activity is a
longstanding question. For instance, perception is fundamentally limited by the information …

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 …

Individual neurons in visual cortex provide the brain with unreliable estimates of visual
features. It is not known whether the single-neuron variability is correlated across large …

Neuromorphic processing systems implementing spiking neural networks with mixed signal
analog/digital electronic circuits and/or memristive devices represent a promising …

Simultaneous recordings from large neural populations are becoming increasingly common.
An important feature of population activity is the trial-to-trial correlated fluctuation of spike …

Errors in short-term memory increase with the quantity of information stored, limiting the
complexity of cognition and behavior. In visual memory, attempts to account for errors in …