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 …

In the brain, patterns of neural activity represent sensory information and store it in non‐
random synaptic connectivity. A prominent theoretical hypothesis states that assemblies …

Recurrent cortical activity sculpts visual perception by refining, amplifying or suppressing
visual input. However, the rules that govern the influence of recurrent activity remain …

The brain is in a state of perpetual reverberant neural activity, even in the absence of
specific tasks or stimuli. Shedding light on the origin and functional significance of such a …

Graph theory is now becoming a standard tool in system-level neuroscience. However,
endowing observed brain anatomy and dynamics with a complex network structure does not …

The dimensionality of a network's collective activity is of increasing interest in neuroscience.
This is because dimensionality provides a compact measure of how coordinated network …

Synaptic changes are hypothesized to underlie learning and memory formation in the brain.
But Hebbian synaptic plasticity of excitatory synapses on its own is unstable, leading to …

The circuit mechanisms behind shared neural variability (noise correlation) and its
dependence on neural state are poorly understood. Visual attention is well-suited to …

The interpretation of neuronal spike train recordings often relies on abstract statistical
models that allow for principled parameter estimation and model selection but provide only …

Constraining the many biological parameters that govern cortical dynamics is
computationally and conceptually difficult because of the curse of dimensionality. This paper …