A central principle in neuroscience is that neurons within the brain act in concert to produce
perception, cognition, and adaptive behavior. Neurons are organized into specialized brain …

To understand the brain we must relate neurons' functional responses to the circuit
architecture that shapes them. Here, we present a large functional connectomics dataset …

In the neocortex, neural activity is shaped by the interaction of excitatory and inhibitory
neurons, defined by the organization of their synaptic connections. Although connections …

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

On the timescale of sensory processing, neuronal networks have relatively fixed anatomical
connectivity, while functional interactions between neurons can vary depending on the …

Understanding the brain's perception algorithm is a highly intricate problem, as the inherent
complexity of sensory inputs and the brain's nonlinear processing make characterizing …

Deciphering the brain's structure-function relationship is key to understanding the neuronal
mechanisms underlying perception and cognition. The cortical column, a vertical …

Understanding how biological visual systems process information is challenging due to the
complex nonlinear relationship between neuronal responses and high-dimensional visual …

Neurons are thought to act as parts of assemblies with strong internal excitatory connectivity.
Conversely, inhibition is often reduced to blanket inhibition with no targeting specificity. We …

Understanding how different neuronal types connect and communicate is critical to
interpreting brain function and behavior. However, it has remained a formidable challenge to …