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 …

How do neural populations code for multiple, potentially conflicting tasks? Here we used
computational simulations involving neural networks to define" lazy" and" rich" coding …

Highlights•New generations of recording and computing technologies have enabled
neuroscience at the level of the neural population.•Landmark scientific findings suggest the …

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 …

Re-entrant or feedback pathways between cortical areas carry rich and varied information
about behavioural context, including attention, expectation, perceptual tasks, working …

Neuronal networks with strong recurrent connectivity provide the brain with a powerful
means to perform complex computational tasks. However, high-gain excitatory networks are …

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 …

Economic choice behavior entails the computation and comparison of subjective values. A
central contribution of neuroeconomics has been to show that subjective values are …

The brain is limited in its capacity to process all sensory stimuli present in the physical world
at any point in time and relies instead on the cognitive process of attention to focus neural …