Human cognitive abilities are generally thought to arise from cortical expansion over the
course of human brain evolution. In addition to increased neuron numbers, this cortical …

Deep learning and predictive coding architectures commonly assume that inference in
neural networks is hierarchical. However, largely neglected in deep learning and predictive …

We present a unique, extensive, and open synaptic physiology analysis platform and
dataset. Through its application, we reveal principles that relate cell type to synaptic …

Genetically encoded voltage indicators (GEVIs) enable monitoring of neuronal activity at
high spatial and temporal resolution. However, the utility of existing GEVIs has been limited …

Structural rules underlying functional properties of cortical circuits are poorly understood. To
explore these rules systematically, we integrated information from extensive literature …

A central goal in neuroscience is to determine how the brain's neuronal circuits generate
perception, cognition and emotions and how these lead to appropriate behavioural actions …

Abstract Layer 4 (L4) of mammalian neocortex plays a crucial role in cortical information
processing, yet a complete census of its cell types and connectivity remains elusive. Using …

Understanding cortical microcircuits requires thorough measurement of physiological
properties of synaptic connections formed within and between diverse subclasses of …

The mouse, as a model organism to study the brain, gives us unprecedented experimental
access to the mammalian cerebral cortex. By determining the cortex's cellular composition …

Context guides perception by influencing stimulus saliency. Accordingly, in visual cortex,
responses to a stimulus are modulated by context, the visual scene surrounding the …