Morphology based analysis of cell types has been an area of great intere...
We show dense voxel embeddings learned via deep metric learning can be
e...
Neural circuits can be reconstructed from brain images acquired by seria...
Connectomics aims to recover a complete set of synaptic connections with...
Reconstructing multiple molecularly defined neurons from individual brai...
We define and study error detection and correction tasks that are useful...
For the past decade, convolutional networks have been used for 3D
recons...
Convolutional networks (ConvNets) have become a popular approach to comp...