Motivation Large-scale neuronal morphologies are essential to neuronal ty**, connectivity
characterization and brain modeling. It is widely accepted that automation is critical to the …

The importance of neuronal morphology has been recognized from the early days of
neuroscience. Elucidating the functional roles of axonal and dendritic arbors in synaptic …

BigNeuron is an open community bench-testing platform with the goal of setting open
standards for accurate and fast automatic neuron tracing. We gathered a diverse set of …

Active dendrites provide neurons with powerful processing capabilities. However, little is
known about the role of neuronal dendrites in behaviourally related circuit computations …

Brain circuit map** requires digital reconstruction of neuronal morphologies in
complicated networks. Despite recent advances in automatic algorithms, reconstruction of …

The GFP reconstitution across synaptic partners (GRASP) technique, based on functional
complementation between two nonfluorescent GFP fragments, can be used to detect the …

Motivation: Tracing of neuron morphology is an essential technique in computational
neuroscience. However, despite a number of existing methods, few open-source techniques …

The reconstruction of neuronal populations, a key step in understanding neural circuits,
remains a challenge in the presence of densely packed neurites. Here we achieved …

The ability to create accurate geometric models of neuronal morphology is important for
understanding the role of shape in information processing. Despite a significant amount of …

Motivation: Digital reconstruction, or tracing, of 3D neuron structures is critical toward
reverse engineering the wiring and functions of a brain. However, despite a number of …