Neuronal networks are high-dimensional graphs that are packed into three-dimensional
nervous tissue at extremely high density. Comprehensively mapping these networks is therefore …

To understand the function of cortical circuits, it is necessary to catalog their cellular diversity.
Past attempts to do so using anatomical, physiological or molecular features of cortical …

Motion-sensitive neurons have long been studied in both the mammalian retina and the insect
optic lobe, yet striking similarities have become obvious only recently. Detailed studies at …

… A total of >20,000 annotator hours yielded 2.6 m of skeletons, representing 0.64 m of
neurite, with estimated 25 error rates of 9, 12 and 6 per ganglion, amacrine and bipolar cell, …

The proper connectivity between neurons is essential for the implementation of the algorithms
used in neural computations, such as the detection of directed motion by the retina. The …

Many image segmentation algorithms first generate an affinity graph and then partition it. We
present a machine learning approach to computing an affinity graph using a convolutional …

The human cerebral cortex houses 1000 times more neurons than that of the cerebral cortex
of a mouse, but the possible differences in synaptic circuits between these species are still …

INTRODUCTION The brain of mammals consists of an enormously dense network of neuronal
wires: the axons and dendrites of nerve cells. Their packing density is so high that light-…

Soma location, dendrite morphology, and synaptic innervation may represent key determinants
of functional responses of individual neurons, such as sensory-evoked spiking. Here, we …

… typically in the range of meters (at least 0.3 m for small circuits such as a 100 × 100 × 100
μm 3 region of retina, and as much as 400 m for a mouse cortical column 10 ). Using currently …