Life exists in three dimensions, but until the turn of the century most electron microscopy
methods provided only 2D image data. Recently, electron microscopy techniques capable of …

Sensors and algorithms are two fundamental elements to construct intelligent systems. The
recent progress in machine learning (ML) has produced great advancements in intelligent …

Connections between neurons can be mapped by acquiring and analysing electron
microscopic brain images. In recent years, this approach has been applied to chunks of …

The fruit fly Drosophila melanogaster has emerged as a key model organism in
neuroscience, in large part due to the concentration of collaboratively generated molecular …

Brains contain networks of interconnected neurons and so knowing the network architecture
is essential for understanding brain function. We therefore mapped the synaptic-resolution …

The neural circuits responsible for animal behavior remain largely unknown. We summarize
new methods and present the circuitry of a large fraction of the brain of the fruit fly …

Flexible behaviors over long timescales are thought to engage recurrent neural networks in
deep brain regions, which are experimentally challenging to study. In insects, recurrent …

Abstract Knowledge of connectivity in the nervous system is essential to understanding its
function. Here we describe connectomes for both adult sexes of the nematode …

Gesture recognition using machine-learning methods is valuable in the development of
advanced cybernetics, robotics and healthcare systems, and typically relies on images or …

Dense reconstruction of synaptic connectivity requires high-resolution electron microscopy
images of entire brains and tools to efficiently trace neuronal wires across the volume. To …