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 …

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 …

Highlights•Computation noise drives human decision variability under uncertainty.•
Computation noise sets cognitive constraints on information processing.•Computation noise …

Neurons in the CA1 area of the mouse hippocampus encode the position of the animal in an
environment. However, given the variability in individual neurons responses, the accuracy of …

The perception of sensory attributes is often quantified through measurements of sensitivity
(the ability to detect small stimulus changes), as well as through direct judgments of …

Evolutionary dynamics of diversification of brain neuronal cell types that have underlain
behavioral evolution remain largely unknown. Here, we compared transcriptomes and …

The signaling capacity of a neural population depends on the scale and orientation of its
covariance across trials. Estimating this" noise" covariance is challenging and is thought to …

The brain's remarkable properties arise from the collective activity of millions of neurons.
Widespread application of dimensionality reduction to multi-neuron recordings implies that …

Understanding how neural populations encode sensory stimuli remains a central problem in
neuroscience. Here we performed multi-unit recordings from sensory neural populations in …