The vast computational power of the brain has traditionally been viewed as arising from the
complex connectivity of neural networks, in which an individual neuron acts as a simple …

The study of the structure and function of neuronal cells and networks is of crucial
importance in the endeavor to understand how the brain works. A key component in this …

The human brain is a complex system whose topological organization can be represented
using connectomics. Recent studies have shown that human connectomes can be …

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

To facilitate fine-scale phenotyping of whole specimens, we describe here a set of tissue
fixation-embedding, detergent-clearing and staining protocols that can be used to transform …

Computational neuroscience has produced a diversity of software for simulations of
networks of spiking neurons, with both negative and positive consequences. On the one …

The structure of dendrites and axons plays fundamental roles in synaptic integration and
network connectivity. Synergistic advances in neurobiology (eg, intracellular injections …

The hippocampal theta rhythm plays important roles in information processing; however, the
mechanisms of its generation are not well understood. We developed a data-driven …

Initial investigations of the cerebellar microcircuit inspired the Marr–Albus theoretical
framework of cerebellar function. We review recent developments in the experimental …

Biologically detailed single neuron and network models are important for understanding
how ion channels, synapses and anatomical connectivity underlie the complex electrical …